Instructions to use appleternity/scibert-uncased-finetuned-coda19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use appleternity/scibert-uncased-finetuned-coda19 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="appleternity/scibert-uncased-finetuned-coda19")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("appleternity/scibert-uncased-finetuned-coda19") model = AutoModelForSequenceClassification.from_pretrained("appleternity/scibert-uncased-finetuned-coda19") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 772d553fab3759837e8a7c6089813164138e5658a105daac96278903a31f12ad
- Size of remote file:
- 440 MB
- SHA256:
- cb4bfec004c03209413195d78d1b8fcfa0b213693f048416878740dc3148c63d
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