Instructions to use peterandrew987/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peterandrew987/results with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("peterandrew987/results") model = AutoModelForSeq2SeqLM.from_pretrained("peterandrew987/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from peterandrew987/results: direct link, hf CLI and curl.
- Browser
- Download file 526 MB
-
https://huggingface.co/peterandrew987/results/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://peterandrew987/results/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/peterandrew987/results/resolve/main/pytorch_model.bin
526 MB
- Xet hash:
- 83f1529e74db562a55f389ca6d9b0936fb9252e79d3ff201db1fb56f5cc295a8
- Size of remote file:
- 526 MB
- SHA256:
- baf7e1795d08088425faab147afd4450187d3708e472c5c2670a5678a7d3e4da
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