Instructions to use research-backup/relbert-roberta-large-nce-b-nell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-backup/relbert-roberta-large-nce-b-nell with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="research-backup/relbert-roberta-large-nce-b-nell")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("research-backup/relbert-roberta-large-nce-b-nell") model = AutoModel.from_pretrained("research-backup/relbert-roberta-large-nce-b-nell") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cdd0b7637510cd00f33f5cb7b6b1f706b47a0abdd8ae24eac2dbc6a88144f4c
- Size of remote file:
- 1.42 GB
- SHA256:
- 6b8abfbb9ab92a8ad04fbb1ca7adf3f586f481ea946d1ffb25d9aff9257e9251
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