Instructions to use aieng-lab/CodeLlama-7b-hf_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/CodeLlama-7b-hf_sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/CodeLlama-7b-hf_sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/CodeLlama-7b-hf_sentiment") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/CodeLlama-7b-hf_sentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f18a3e31af371f514644a07ef51454912e704f2ed7957d0ef5e47bed71aa5f51
- Size of remote file:
- 500 kB
- SHA256:
- 45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
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