![Tokenizer class PhobertTokenizerFast does not exist or is not currently imported. · Issue #25 · VinAIResearch/PhoBERT · GitHub Tokenizer class PhobertTokenizerFast does not exist or is not currently imported. · Issue #25 · VinAIResearch/PhoBERT · GitHub](https://user-images.githubusercontent.com/26211514/99625810-9a130a00-2a63-11eb-9a8a-0f9b6c71502f.png)
Tokenizer class PhobertTokenizerFast does not exist or is not currently imported. · Issue #25 · VinAIResearch/PhoBERT · GitHub
![Awni Hannun on X: "It's happening: 🤗 Hugging Face's Transformers got some MLX support! - Tokenize directly to MLX arrays - Load MLX formatted safetensors to use with Transformers Release notes: https://t.co/2a4CyxQILI Awni Hannun on X: "It's happening: 🤗 Hugging Face's Transformers got some MLX support! - Tokenize directly to MLX arrays - Load MLX formatted safetensors to use with Transformers Release notes: https://t.co/2a4CyxQILI](https://pbs.twimg.com/media/GJNyHP0boAAp2oJ.jpg)
Awni Hannun on X: "It's happening: 🤗 Hugging Face's Transformers got some MLX support! - Tokenize directly to MLX arrays - Load MLX formatted safetensors to use with Transformers Release notes: https://t.co/2a4CyxQILI
![Diving Deep with Hugging Face: The GitHub of Deep Learning & Large Language Models! | by Senthil E | Level Up Coding Diving Deep with Hugging Face: The GitHub of Deep Learning & Large Language Models! | by Senthil E | Level Up Coding](https://miro.medium.com/v2/resize:fit:2000/1*Kd3LDdrxpDtBIimfn1eIxQ.png)
Diving Deep with Hugging Face: The GitHub of Deep Learning & Large Language Models! | by Senthil E | Level Up Coding
![Hugging Face on X: "Transformers v4.20.0 is out with nine new model architectures 🤯 and support for big model inference. New models: 🔠BLOOM, GPT Neo-X, LongT5 👁️CvT, LeViT 📄LayoutLMv3 🔊M-CTC-T, Wav2Vec2-Conformer 🖥️Trajectory Hugging Face on X: "Transformers v4.20.0 is out with nine new model architectures 🤯 and support for big model inference. New models: 🔠BLOOM, GPT Neo-X, LongT5 👁️CvT, LeViT 📄LayoutLMv3 🔊M-CTC-T, Wav2Vec2-Conformer 🖥️Trajectory](https://pbs.twimg.com/media/FVYyM_gX0AEhaH2.jpg:large)
Hugging Face on X: "Transformers v4.20.0 is out with nine new model architectures 🤯 and support for big model inference. New models: 🔠BLOOM, GPT Neo-X, LongT5 👁️CvT, LeViT 📄LayoutLMv3 🔊M-CTC-T, Wav2Vec2-Conformer 🖥️Trajectory
![Not work cache_dir of AutoTokenizer.from_pretrained('gpt2') · Issue #22825 · huggingface/transformers · GitHub Not work cache_dir of AutoTokenizer.from_pretrained('gpt2') · Issue #22825 · huggingface/transformers · GitHub](https://user-images.githubusercontent.com/62585026/232737566-d70052e3-9ed4-40ab-9ef6-1030a80a36a4.png)
Not work cache_dir of AutoTokenizer.from_pretrained('gpt2') · Issue #22825 · huggingface/transformers · GitHub
![Vaibhav (VB) Srivastav on X: "You can also use it directly with Transformers too! from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig import torch import torchaudio import re from string import Template prompt_template = Vaibhav (VB) Srivastav on X: "You can also use it directly with Transformers too! from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig import torch import torchaudio import re from string import Template prompt_template =](https://pbs.twimg.com/media/GHiOd2jXYAIB2SA.jpg:large)
Vaibhav (VB) Srivastav on X: "You can also use it directly with Transformers too! from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig import torch import torchaudio import re from string import Template prompt_template =
![ImportError: cannot import name 'AutoModelForSeq2SeqLMM' from 'transformers' - Generative AI with Large Language Models - DeepLearning.AI ImportError: cannot import name 'AutoModelForSeq2SeqLMM' from 'transformers' - Generative AI with Large Language Models - DeepLearning.AI](https://global.discourse-cdn.com/dlai/original/3X/9/7/975e805e218530664d02d476ab2825a9528039ec.png)
ImportError: cannot import name 'AutoModelForSeq2SeqLMM' from 'transformers' - Generative AI with Large Language Models - DeepLearning.AI
![Fine-tuning BERT model for arbitrarily long texts, Part 1 - MIM Solutions - We make artificial intelligence work for you Fine-tuning BERT model for arbitrarily long texts, Part 1 - MIM Solutions - We make artificial intelligence work for you](https://www.mim.ai/wp-content/uploads/2023/03/Screenshot-2023-03-17-at-15.27.14.png)
Fine-tuning BERT model for arbitrarily long texts, Part 1 - MIM Solutions - We make artificial intelligence work for you
![tensorflow - Problem with inputs when building a model with TFBertModel and AutoTokenizer from HuggingFace's transformers - Stack Overflow tensorflow - Problem with inputs when building a model with TFBertModel and AutoTokenizer from HuggingFace's transformers - Stack Overflow](https://i.stack.imgur.com/4eiAK.png)
tensorflow - Problem with inputs when building a model with TFBertModel and AutoTokenizer from HuggingFace's transformers - Stack Overflow
![Vaibhav (VB) Srivastav on X: "Use in Transformers: from transformers import AutoTokenizer, AutoModelForCausalLM import torch tokenizer = AutoTokenizer.from_pretrained("google/gemma-1.1-7b-it") model = AutoModelForCausalLM.from_pretrained( "google/gemma ... Vaibhav (VB) Srivastav on X: "Use in Transformers: from transformers import AutoTokenizer, AutoModelForCausalLM import torch tokenizer = AutoTokenizer.from_pretrained("google/gemma-1.1-7b-it") model = AutoModelForCausalLM.from_pretrained( "google/gemma ...](https://pbs.twimg.com/media/GKcAXUQWcAAFFKw.jpg:large)