Instructions to use kumar9/word-auto-filled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kumar9/word-auto-filled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kumar9/word-auto-filled")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kumar9/word-auto-filled") model = AutoModelForSequenceClassification.from_pretrained("kumar9/word-auto-filled", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis 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.d68c9ae
-
Upload pytorch_model.bin
feabb01 -
Delete pytorch_model.bin
9a0a4d3 -
Delete checkpoint.bin
c60ca99 -
Upload pytorch_model.bin
d259e1e -
Update config.json
79e02d1 -
Create config.json
68fcccc -
Upload checkpoint.bin
856ca55 -
Delete checkpoint.pth
e145d97 -
Update README.md
a39366f
-
Delete word_generator.py
65dabf6 -
Create models.py
7c39dc1 -
Create word_generator.py
68dee13 -
Upload checkpoint.pth
11930a8 -
initial commit
1edfe5d