Instructions to use research-dump/roberta-base_weighted_hoax_classifier_definition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-dump/roberta-base_weighted_hoax_classifier_definition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="research-dump/roberta-base_weighted_hoax_classifier_definition")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("research-dump/roberta-base_weighted_hoax_classifier_definition") model = AutoModelForSequenceClassification.from_pretrained("research-dump/roberta-base_weighted_hoax_classifier_definition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload tokenizer
656d3e7
-
Upload tokenizer
178181e -
Upload tokenizer
bcc07ab
-
Upload tokenizer
96dbc02
-
Upload tokenizer
879775f -
Upload tokenizer
9dddc46 -
Upload tokenizer
65a5a75
-
Upload tokenizer
b1affb1