Text Classification
Transformers
PyTorch
Safetensors
English
roberta
boolean-qa
text-embeddings-inference
Instructions to use shahrukhx01/roberta-base-boolq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahrukhx01/roberta-base-boolq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shahrukhx01/roberta-base-boolq")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shahrukhx01/roberta-base-boolq") model = AutoModelForSequenceClassification.from_pretrained("shahrukhx01/roberta-base-boolq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from shahrukhx01/roberta-base-boolq: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/shahrukhx01/roberta-base-boolq/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://shahrukhx01/roberta-base-boolq@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shahrukhx01/roberta-base-boolq/resolve/refs%2Fpr%2F1/pytorch_model.bin
499 MB
- Xet hash:
- 2ac2354254f2f07d2c1ccab000f22ba5bfdc2d93c85e7628f78ea5e66fb5b91c
- Size of remote file:
- 499 MB
- SHA256:
- da3681de79e688b7725fcf99bc8b77137751edbc4c16374576dd797c9b9038fa
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