Instructions to use clam004/bert-cohere-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clam004/bert-cohere-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="clam004/bert-cohere-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("clam004/bert-cohere-v1") model = AutoModelForSequenceClassification.from_pretrained("clam004/bert-cohere-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- beca45ff2d4482f1410742a7606e34a74ce19b58fb110bfd294ea47dc8391fd3
- Size of remote file:
- 433 MB
- SHA256:
- f53539c276d4f01c78515942f6eaf98c6d0176aca91843de62fa43bed87d54aa
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