Instructions to use AnonymousSub/output_FPDM_roberta_CONTENT_SIM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/output_FPDM_roberta_CONTENT_SIM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AnonymousSub/output_FPDM_roberta_CONTENT_SIM")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/output_FPDM_roberta_CONTENT_SIM") model = AutoModelForQuestionAnswering.from_pretrained("AnonymousSub/output_FPDM_roberta_CONTENT_SIM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca3eda9120045300ff41f953654249969df49908f1da2bdd678871b49111f996
- Size of remote file:
- 496 MB
- SHA256:
- 1ef63a8e9b4e166891c60b73123101e1681871187b59de6f6289df06c837a9ec
路
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