Instructions to use AneeshPB/roberta-large-CEFR-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AneeshPB/roberta-large-CEFR-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AneeshPB/roberta-large-CEFR-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AneeshPB/roberta-large-CEFR-Classification") model = AutoModelForSequenceClassification.from_pretrained("AneeshPB/roberta-large-CEFR-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8f9d2506146d8a68b58b264492fb411affc60cbef4b85fd931c3b0a6d9f1105
- Size of remote file:
- 1.42 GB
- SHA256:
- 3fe591b0a3a91ae659336be79261b59938542a6f345701605ba03991f731c887
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