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")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("aliosm/ComVE-gpt2-medium") model = AutoModel.from_pretrained("aliosm/ComVE-gpt2-medium") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d9b34e908ebd5e529947b53a80bd4003d4740aacd3054def278337d369b1188
- Size of remote file:
- 1.44 GB
- SHA256:
- 61909a51a0b0dec015d764665a40b25d0c9f1229b8a067cd5f34e48ff8ea696f
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