Instructions to use BigSalmon/DaBlank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigSalmon/DaBlank with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BigSalmon/DaBlank") model = AutoModelForSeq2SeqLM.from_pretrained("BigSalmon/DaBlank", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from BigSalmon/DaBlank: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/BigSalmon/DaBlank/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://BigSalmon/DaBlank/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/BigSalmon/DaBlank/resolve/main/flax_model.msgpack
892 MB
- Xet hash:
- fd75499d197e0c793a91fef702dff0dfd6e2a5fb5deff337bd44e91dfc4e995a
- Size of remote file:
- 892 MB
- SHA256:
- 2d080573da36fee8352ca66b36f2f361b99c21c48c02f45b03e2b6e9ba688239
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