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
FakeNews-bert-large-cased-grad / runs /Nov06_13-31-19_27228d013e56 /events.out.tfevents.1699277510.27228d013e56.620.0
- Xet hash:
- e94045719cff685dabded0bc497ee9345d0d4ba422005a4f3dae6a5e077cc75e
- Size of remote file:
- 6.77 kB
- SHA256:
- d7a418399ae522e510483082b7d69acac61f71b69dd86b03e322e9eb78bfa4cd
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