Instructions to use jaimin/Gujarati-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaimin/Gujarati-Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jaimin/Gujarati-Model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jaimin/Gujarati-Model") model = AutoModel.from_pretrained("jaimin/Gujarati-Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jaimin/Gujarati-Model: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/jaimin/Gujarati-Model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jaimin/Gujarati-Model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jaimin/Gujarati-Model/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 0c03f0d5fe8e41ad7c9369ff7f6caa324279a3cdd496a4f467f14a2dd5af7b66
- Size of remote file:
- 268 MB
- SHA256:
- ff3e66428beb6c17265b5f8202710bc6085bea2e7f414ea8282fbcdadfe35763
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