Instructions to use jysssacc/mt0-base_fine_lr0.005_bs4_epoch5_wd0.01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jysssacc/mt0-base_fine_lr0.005_bs4_epoch5_wd0.01 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jysssacc/mt0-base_fine_lr0.005_bs4_epoch5_wd0.01") model = AutoModelForSeq2SeqLM.from_pretrained("jysssacc/mt0-base_fine_lr0.005_bs4_epoch5_wd0.01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from jysssacc/mt0-base_fine_lr0.005_bs4_epoch5_wd0.01: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/jysssacc/mt0-base_fine_lr0.005_bs4_epoch5_wd0.01/resolve/main/model.safetensors
- Command line
-
hf download hf://jysssacc/mt0-base_fine_lr0.005_bs4_epoch5_wd0.01/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/jysssacc/mt0-base_fine_lr0.005_bs4_epoch5_wd0.01/resolve/main/model.safetensors
2.33 GB
- Xet hash:
- 1560cd8883481238821dc819a1b356eda486d4131d699bcb8aa03f7f15751466
- Size of remote file:
- 2.33 GB
- SHA256:
- 0efb64d061b4699e4c56b056d91f65420c870d8c5e7f2e1c44b95e960b470df8
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