Instructions to use ferdmartin/HF_DistilBertBasedModelAppDocs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ferdmartin/HF_DistilBertBasedModelAppDocs with Transformers:
# Load model directly from transformers import AutoTokenizer, DistilBertBasedAppDocs tokenizer = AutoTokenizer.from_pretrained("ferdmartin/HF_DistilBertBasedModelAppDocs") model = DistilBertBasedAppDocs.from_pretrained("ferdmartin/HF_DistilBertBasedModelAppDocs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9e05c5d8bb040db2aadeeef94839555d9235c899971231810d1abf0a3bce4f6
- Size of remote file:
- 265 MB
- SHA256:
- 6ccc1be56f261744602007b3fd636d488b5aa305829a9c9115b7831d13213169
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