Instructions to use GanjinZero/coder_eng_pp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GanjinZero/coder_eng_pp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="GanjinZero/coder_eng_pp")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("GanjinZero/coder_eng_pp") model = AutoModel.from_pretrained("GanjinZero/coder_eng_pp") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83d55d72f78e618383ca0401f191078bb4832683dbbf1661f278979ac162c6af
- Size of remote file:
- 433 MB
- SHA256:
- b82c09e962813d126f765d8ffee49fb62479737f35d4509cc4974efd3993b875
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.