Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Denyol/FakeNews-bert-large-cased-grad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denyol/FakeNews-bert-large-cased-grad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denyol/FakeNews-bert-large-cased-grad")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denyol/FakeNews-bert-large-cased-grad") model = AutoModelForSequenceClassification.from_pretrained("Denyol/FakeNews-bert-large-cased-grad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fea573c40f11b46c7da64284583b1a493d71311f340cbc258f45193e6530870a
- Size of remote file:
- 4.6 kB
- SHA256:
- ea9513543fbdb6616fbf8a6d050ff4e57b10512e63f72b1caa02f38e23aa812e
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