Instructions to use Bearnardd/test_bearnard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bearnardd/test_bearnard with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Bearnardd/test_bearnard") model = AutoModelForCausalLM.from_pretrained("Bearnardd/test_bearnard") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7f29653df96a285b8996834d425c70f2fb2feb9b8bf37797f9e755a65628e1c
- Size of remote file:
- 510 MB
- SHA256:
- ed3a08a2388ff8fe19cba8821cc5d48565198a319e8637bb0054a690b7a8812e
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