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:
- 5cefb213f7753b51418d408fcb8865ad8a86aea6684eb685e87bddb23e43f87d
- Size of remote file:
- 1.33 GB
- SHA256:
- 2adddc8b087ea043c09e8d6188faeb5ee9cb30a4013c761e891e8006e02afb54
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