Instructions to use codegood/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codegood/results with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("codegood/results") model = AutoModelForSeq2SeqLM.from_pretrained("codegood/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from codegood/results: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/codegood/results/resolve/main/model.safetensors
- Command line
-
hf download hf://codegood/results/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/codegood/results/resolve/main/model.safetensors
990 MB
- Xet hash:
- 235dbf9133dcec1f867e0fa3fc5cd976d7f99d703719f5f22503fd01b17cbd50
- Size of remote file:
- 990 MB
- SHA256:
- 51bcdb99bd54a5d887707f93a4393a52de92e1ab867199891013f4d11e6a845a
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