Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Denyol/FakeNews-roberta-large-grad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denyol/FakeNews-roberta-large-grad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denyol/FakeNews-roberta-large-grad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denyol/FakeNews-roberta-large-grad") model = AutoModelForSequenceClassification.from_pretrained("Denyol/FakeNews-roberta-large-grad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Denyol/FakeNews-roberta-large-grad: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/Denyol/FakeNews-roberta-large-grad/resolve/main/training_args.bin
- Command line
-
hf download hf://Denyol/FakeNews-roberta-large-grad/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Denyol/FakeNews-roberta-large-grad/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 5ef088f70991aae4a8a453ebbfd0a41861150bfde17b7ef872c79501856fad16
- Size of remote file:
- 4.6 kB
- SHA256:
- 2bbee0d743ed77543330a866cc0ec06f38d0ce8d39d0ab3d24e69875533949eb
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