Instructions to use lylaruslana/001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lylaruslana/001 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="lylaruslana/001")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("lylaruslana/001") model = AutoModelForCausalLM.from_pretrained("lylaruslana/001") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ce99c527b5b605a5d45f9117fdeab7bb56e09e1e87fc7ca87337d11ffd1ae11
- Size of remote file:
- 466 MB
- SHA256:
- 271ba39bb62960e3226d118cb4f21efda69ae1230186c55c901437e40100ea19
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