Instructions to use jenspt/mln_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jenspt/mln_ft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jenspt/mln_ft") model = AutoModelForSeq2SeqLM.from_pretrained("jenspt/mln_ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jenspt/mln_ft: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/jenspt/mln_ft/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jenspt/mln_ft/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jenspt/mln_ft/resolve/main/pytorch_model.bin
1.2 GB
- Xet hash:
- d51159108b05682347c6e2b865057048fd93da0704320e99381badae75dbe808
- Size of remote file:
- 1.2 GB
- SHA256:
- dcbc147ea112a0e1caefb8cde8150f9554f65d7f799ca9ba068e35bfcd09c960
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