Instructions to use SushantGautam/roberta-large_accuracy-coverage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SushantGautam/roberta-large_accuracy-coverage with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SushantGautam/roberta-large_accuracy-coverage")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SushantGautam/roberta-large_accuracy-coverage") model = AutoModelForSequenceClassification.from_pretrained("SushantGautam/roberta-large_accuracy-coverage", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4af9c4bbd91629ecb2979d0dd543aef5d6aeb3ae07083a5bb47c678046f56b66
- Size of remote file:
- 5.05 kB
- SHA256:
- a5ef18774ff45f032c5338f653bc7f6b39b33853d01e8747b3f0e7097568fea8
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