Instructions to use BSC-LT/salamandraTA-7b-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BSC-LT/salamandraTA-7b-instruct 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="BSC-LT/salamandraTA-7b-instruct")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("BSC-LT/salamandraTA-7b-instruct") model = AutoModelForMultimodalLM.from_pretrained("BSC-LT/salamandraTA-7b-instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c2597d47717329dea2a5d604feb3bec3bf0282a00091b48d385d5381a439094
- Size of remote file:
- 5 GB
- SHA256:
- 762864d078a718a6a5cbb09d55ef188cdf9e7f1018b90550b35c46a1f10cafe9
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