Instructions to use bridge4/distilbert_HTTPtoVec_CSIC2010 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bridge4/distilbert_HTTPtoVec_CSIC2010 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bridge4/distilbert_HTTPtoVec_CSIC2010")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bridge4/distilbert_HTTPtoVec_CSIC2010") model = AutoModel.from_pretrained("bridge4/distilbert_HTTPtoVec_CSIC2010", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcc8b969ad29b4a0c2b161d1430eed33b66a0f93331397edb3d27b6ac116cb16
- Size of remote file:
- 265 MB
- SHA256:
- ea18e66c4e457ade63f01da48b4386458f4692ee9f8afc8ba00af6c473293cc4
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