Instructions to use alibidaran/intent_recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alibidaran/intent_recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alibidaran/intent_recognition")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alibidaran/intent_recognition") model = AutoModelForSequenceClassification.from_pretrained("alibidaran/intent_recognition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from alibidaran/intent_recognition: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/alibidaran/intent_recognition/resolve/refs%2Fpr%2F2/pytorch_model.bin
- Command line
-
hf download hf://alibidaran/intent_recognition@refs/pr/2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/alibidaran/intent_recognition/resolve/refs%2Fpr%2F2/pytorch_model.bin
268 MB
- Xet hash:
- 52aad4d0341d37533edcd9d244a3be3346e261ce6b4c52de395a03e7ae7efbdd
- Size of remote file:
- 268 MB
- SHA256:
- aa701c4141b7f810e4e1622ac497603620f8c8e9b7018cb621424fb553a1829c
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