Instructions to use mahsharyahan/sagorsarker-validation-f1-factiod-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahsharyahan/sagorsarker-validation-f1-factiod-qa 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="mahsharyahan/sagorsarker-validation-f1-factiod-qa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mahsharyahan/sagorsarker-validation-f1-factiod-qa") model = AutoModelForQuestionAnswering.from_pretrained("mahsharyahan/sagorsarker-validation-f1-factiod-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.txt from mahsharyahan/sagorsarker-validation-f1-factiod-qa: direct link, hf CLI and curl.
- Browser
- Download file 528 kB
-
https://huggingface.co/mahsharyahan/sagorsarker-validation-f1-factiod-qa/resolve/main/vocab.txt
- Command line
-
hf download hf://mahsharyahan/sagorsarker-validation-f1-factiod-qa/vocab.txt
-
curl -L -o vocab.txt https://huggingface.co/mahsharyahan/sagorsarker-validation-f1-factiod-qa/resolve/main/vocab.txt
528 kB
File too large to display, you can check the raw version instead.