Instructions to use aliosm/ComVE-gpt2-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aliosm/ComVE-gpt2-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="aliosm/ComVE-gpt2-medium")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("aliosm/ComVE-gpt2-medium") model = AutoModel.from_pretrained("aliosm/ComVE-gpt2-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from aliosm/ComVE-gpt2-medium: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/aliosm/ComVE-gpt2-medium/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://aliosm/ComVE-gpt2-medium/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/aliosm/ComVE-gpt2-medium/resolve/main/flax_model.msgpack
1.42 GB
- Xet hash:
- 25c6be3362170232735cc13d8160b5c9ec4f10dbb7e78ebd7a2f16ab7b7e3e73
- Size of remote file:
- 1.42 GB
- SHA256:
- 56a425df451d83cb1a107ffb80469d468e6c96636fcfc0b746a285ab6a81aa7e
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