Instructions to use AnonymousSub/fpdm_roberta_soup_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/fpdm_roberta_soup_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/fpdm_roberta_soup_model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/fpdm_roberta_soup_model") model = AutoModel.from_pretrained("AnonymousSub/fpdm_roberta_soup_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a74cd22d506114f4326cebc3164063d54a669049da54afa1cba742df9ba00163
- Size of remote file:
- 499 MB
- SHA256:
- 4eb9c2414a4747b4a588385d9f55a3876ca3812a971c536e1cd113879d35081c
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