Instructions to use sangmichaelxie/dsir-roberta-continuedpretrain-sciie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sangmichaelxie/dsir-roberta-continuedpretrain-sciie with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sangmichaelxie/dsir-roberta-continuedpretrain-sciie")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sangmichaelxie/dsir-roberta-continuedpretrain-sciie") model = AutoModel.from_pretrained("sangmichaelxie/dsir-roberta-continuedpretrain-sciie", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be5868744f5da1bab4ef03c66d2769c47a3683c4afbe68775e2a8667bf385365
- Size of remote file:
- 499 MB
- SHA256:
- 4dca5affbc825b4ff32c808f9a9df4e17095ec991b69db491f892990a38c239a
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