Instructions to use erbacher/amblong2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erbacher/amblong2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("erbacher/amblong2") model = AutoModelForSeq2SeqLM.from_pretrained("erbacher/amblong2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:000d80bcc1de57605ea9fcf6351852fb2fda4611848f450215a6721229bc7bc5
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size 990386288
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