Instructions to use GanjinZero/coder_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GanjinZero/coder_all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="GanjinZero/coder_all")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("GanjinZero/coder_all") model = AutoModel.from_pretrained("GanjinZero/coder_all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from GanjinZero/coder_all: direct link, hf CLI and curl.
- Browser
- Download file 92 Bytes
-
https://huggingface.co/GanjinZero/coder_all/resolve/main/.gitattributes
- Command line
-
hf download hf://GanjinZero/coder_all/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/GanjinZero/coder_all/resolve/main/.gitattributes
92 Bytes
| *.msgpack filter=lfs diff=lfs merge=lfs -text | |
| *.msgpack filter=lfs diff=lfs merge=lfs -text | |