Instructions to use garutyunov/litbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use garutyunov/litbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="garutyunov/litbert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("garutyunov/litbert") model = AutoModel.from_pretrained("garutyunov/litbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4712b83c105a2eea8b80eb878077d4eefe2c788a90f4982efa050bd5548b3c40
- Size of remote file:
- 438 MB
- SHA256:
- eb726c0c83eb91efd9ec51a9dd7abe44ef52bb70793c766f74a15b30cd77eb5d
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