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")# 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") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "BSC-LT/salamandraTA-
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"architectures": [
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"LlamaForCausalLM"
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],
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{
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"_name_or_path": "BSC-LT/salamandraTA-2b-instruct",
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"architectures": [
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"LlamaForCausalLM"
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],
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