Instructions to use jbochi/madlad400-7b-mt-bt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jbochi/madlad400-7b-mt-bt 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="jbochi/madlad400-7b-mt-bt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jbochi/madlad400-7b-mt-bt") model = AutoModelForSeq2SeqLM.from_pretrained("jbochi/madlad400-7b-mt-bt") - Notebooks
- Google Colab
- Kaggle
Add quantized model
Browse files- model-q4k.gguf +3 -0
model-q4k.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:a20ef082258e423b78a71852cb59b0fa3396654d8b0bd365915343a8771cf58a
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size 4668768576
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