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")# pip install -U transformers accelerate # 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
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (dc88495b3aae6ee0976f7ce5a64efc8b4746200b) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>e0baf07
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