Instructions to use AfnanTS/ENGLISH-MODEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AfnanTS/ENGLISH-MODEL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AfnanTS/ENGLISH-MODEL")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AfnanTS/ENGLISH-MODEL") model = AutoModelForMaskedLM.from_pretrained("AfnanTS/ENGLISH-MODEL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AfnanTS/ENGLISH-MODEL: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/AfnanTS/ENGLISH-MODEL/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AfnanTS/ENGLISH-MODEL/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AfnanTS/ENGLISH-MODEL/resolve/main/pytorch_model.bin
1.34 GB
- Xet hash:
- 41650626c62da5b2089d6b751856b89ffe92364a9c5ad8f6d27b3a7f5471b9a8
- Size of remote file:
- 1.34 GB
- SHA256:
- 286566b57435aadbe4ef7c83807c2d64134df55cd9e84cbfffebd1b53df2e282
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