Instructions to use AnonymousSub/HTM_2_FPDM_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/HTM_2_FPDM_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/HTM_2_FPDM_roberta")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/HTM_2_FPDM_roberta") model = AutoModel.from_pretrained("AnonymousSub/HTM_2_FPDM_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02bb89042eaeaa22b69ffde954c7fe84e3075eac42ac5f7273a3739bf9fad493
- Size of remote file:
- 499 MB
- SHA256:
- d5ed5f76825169a43f55d0c2d52deabe8b8561ee8210047b30e94a273159c5a3
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