Instructions to use minh21/XLNet-Twitter-Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minh21/XLNet-Twitter-Analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="minh21/XLNet-Twitter-Analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("minh21/XLNet-Twitter-Analysis") model = AutoModelForSequenceClassification.from_pretrained("minh21/XLNet-Twitter-Analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b2c7bb2157513f1e687d00cd8afa7a5083634541f1ef99390dafff04baa8487
- Size of remote file:
- 469 MB
- SHA256:
- 4d85f4cbf11edb465c7e864127d53a087a34968346b74bc239aa115a59f51018
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