Instructions to use apugachev/roberta-large-boolq-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apugachev/roberta-large-boolq-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="apugachev/roberta-large-boolq-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("apugachev/roberta-large-boolq-finetuned") model = AutoModelForSequenceClassification.from_pretrained("apugachev/roberta-large-boolq-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32aef550d5b2ffc3d9a8eddcb82b142442feaaaafc72b41847c4709c09b5c1ea
- Size of remote file:
- 1.42 GB
- SHA256:
- cc775e63709dcf23ebe76ea3964597befb4bee2903c8561396dad060ea8b51e7
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