Instructions to use grakshit/squad_a_r_1160_bal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grakshit/squad_a_r_1160_bal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="grakshit/squad_a_r_1160_bal")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("grakshit/squad_a_r_1160_bal") model = AutoModelForSequenceClassification.from_pretrained("grakshit/squad_a_r_1160_bal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from grakshit/squad_a_r_1160_bal: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/grakshit/squad_a_r_1160_bal/resolve/58674870554480809cefd4e9929b41d2650c42b1/training_args.bin
- Command line
-
hf download hf://grakshit/squad_a_r_1160_bal@58674870554480809cefd4e9929b41d2650c42b1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/grakshit/squad_a_r_1160_bal/resolve/58674870554480809cefd4e9929b41d2650c42b1/training_args.bin
4.03 kB
- Xet hash:
- 6fa6d73cc5e90a48cc89c93b60b7de8716336a1d880da15570084244286402b9
- Size of remote file:
- 4.03 kB
- SHA256:
- c897764a0c19cdc528d76deb76123f8eec4c1a016d6c8048888e56e8e3253241
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