Instructions to use cambridgeltl/BioRedditBERT-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cambridgeltl/BioRedditBERT-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cambridgeltl/BioRedditBERT-uncased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("cambridgeltl/BioRedditBERT-uncased") model = AutoModel.from_pretrained("cambridgeltl/BioRedditBERT-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d096aafa9a70428ca09350b4a82f4e3a8a85e951983925be8743483c9a6cbfa
- Size of remote file:
- 433 MB
- SHA256:
- 701f3ce937ac2eee76f6c8cd3c94ed7c1a9adf3e9e7866196d3c6da48a7be325
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