Instructions to use egozi/stam_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use egozi/stam_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="egozi/stam_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("egozi/stam_model") model = AutoModelForMaskedLM.from_pretrained("egozi/stam_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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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.1c3634d
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Upload CamembertForMaskedLM (#3)
- Upload CamembertForMaskedLM (c4de27f525e0ff76a1cc7e993c71451977346050)2024afd -
Upload tokenizer (#1)
- Upload tokenizer (a5d7421c4f9f59a68dddda8e427667ed3dcd2c01)4b10e8e -
Upload tokenizer (#2)
- Upload tokenizer (ad9266541738630eb9197e1dc4f21db6c24944aa)6955dcb -
initial commit
Amir Egozibc2e754