Text Classification
Transformers
TensorBoard
Safetensors
Spanish
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use jpherrerap/fake-news-bert-base-spanish-wwm-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jpherrerap/fake-news-bert-base-spanish-wwm-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jpherrerap/fake-news-bert-base-spanish-wwm-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jpherrerap/fake-news-bert-base-spanish-wwm-cased") model = AutoModelForSequenceClassification.from_pretrained("jpherrerap/fake-news-bert-base-spanish-wwm-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1edd8b307ef52b99531b7e95285172f1b0bc548b0bf1d479ae51b7bc986b7e1d
- Size of remote file:
- 5.3 kB
- SHA256:
- ab6c5d51eb0e17c0678d517ae2c0735a81863bf7f69f7f1a56455d1bf72d7f04
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