Instructions to use Matheusmatos2916/my_awesome_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matheusmatos2916/my_awesome_qa_model with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Matheusmatos2916/my_awesome_qa_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Matheusmatos2916/my_awesome_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("Matheusmatos2916/my_awesome_qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Matheusmatos2916/my_awesome_qa_model: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/Matheusmatos2916/my_awesome_qa_model/resolve/e63905c3825daa2bff9052a575f52eb60483204e/pytorch_model.bin
- Command line
-
hf download hf://Matheusmatos2916/my_awesome_qa_model@e63905c3825daa2bff9052a575f52eb60483204e/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Matheusmatos2916/my_awesome_qa_model/resolve/e63905c3825daa2bff9052a575f52eb60483204e/pytorch_model.bin
496 MB
- Xet hash:
- 5359f85a20e4105cc695eac0c7e2d43272b1ba1f7f7fb5c00def1a5ff2ca7109
- Size of remote file:
- 496 MB
- SHA256:
- a6ff65f0fe4d32388a3836ef92ed07ddeef369ae7a7edbf299abfd9cb2f85b92
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.