Instructions to use ideepankarsharma2003/FinetunedIntentGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ideepankarsharma2003/FinetunedIntentGeneration with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ideepankarsharma2003/FinetunedIntentGeneration")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ideepankarsharma2003/FinetunedIntentGeneration") model = AutoModelForSequenceClassification.from_pretrained("ideepankarsharma2003/FinetunedIntentGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30dad4db16a979cd09273727b6a81dc611639b9a320b5c59e5bc7f2e22484ff0
- Size of remote file:
- 438 MB
- SHA256:
- 5c6042ad7f33e2cd28240dae58a99d89b2237eaebd274e728c9458a0ddc042c4
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