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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52ea5ef41afbcb18d3e741f488178085619b4b9eb9a353a0820ea7166eb4bc51
- Size of remote file:
- 4.66 kB
- SHA256:
- 854dcdfa0a077d2a5f762cc90f061504c63b9e546151451bb835bcc35b378359
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