Instructions to use eclat12450/fine-tuned-NSPbert-12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eclat12450/fine-tuned-NSPbert-12 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("eclat12450/fine-tuned-NSPbert-12") model = AutoModelForNextSentencePrediction.from_pretrained("eclat12450/fine-tuned-NSPbert-12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 021fe965cf4f5ce5e0e4cdd473f1041b628fa6b207c68bd39e12b8f11d28455b
- Size of remote file:
- 711 MB
- SHA256:
- de4270fe094fbcd29c71496b710d5e6a5795dd032a0cb05213940997e42d1b99
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