Instructions to use QyQy/VietAI-Assignment2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QyQy/VietAI-Assignment2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="QyQy/VietAI-Assignment2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("QyQy/VietAI-Assignment2") model = AutoModelForTokenClassification.from_pretrained("QyQy/VietAI-Assignment2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.6b3f544
-
Upload vocab.txt
3cae9a1 -
Upload training_args.bin
c6c6e1f -
Upload trainer_state.json
0c09f73 -
Upload tokenizer_config.json
8bc3822 -
Upload tokenizer.json
1477a93 -
Upload special_tokens_map.json
cb2202a -
Upload scheduler.pt
c5d63b6 -
Upload scaler.pt
1bcfe82 -
Upload rng_state.pth
d2914d7 -
Upload pytorch_model.bin
d6a8e6f -
Upload optimizer.pt
1cfc84f -
Upload config.json
685ee01 -
initial commit
452b7f2