Instructions to use amirdnc/HeQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amirdnc/HeQ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="amirdnc/HeQ")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("amirdnc/HeQ") model = AutoModelForQuestionAnswering.from_pretrained("amirdnc/HeQ", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 195f2964b357d1ddaabbdeaddb1ff81a07385898f5460803eed38eb5b90bfd75
- Size of remote file:
- 709 MB
- SHA256:
- 955adbdfdd50ba9afa9053865820df203068bd1fd18bfbd45dc4d8f482134bc8
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.