Instructions to use BSC-LT/salamandraTA-2b-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BSC-LT/salamandraTA-2b-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-2b-instruct")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("BSC-LT/salamandraTA-2b-instruct") model = AutoModelForCausalLM.from_pretrained("BSC-LT/salamandraTA-2b-instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download images/chart.png from BSC-LT/salamandraTA-2b-instruct: direct link, hf CLI and curl.
- Browser
- Download file 34.7 kB
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https://huggingface.co/BSC-LT/salamandraTA-2b-instruct/resolve/main/images/chart.png
- Command line
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hf download hf://BSC-LT/salamandraTA-2b-instruct/images/chart.png
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curl -L -o chart.png https://huggingface.co/BSC-LT/salamandraTA-2b-instruct/resolve/main/images/chart.png
34.7 kB
