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:
- 7b29b6dd4ad97a511bc84e1c1ae8a178ebcd2337136e286e1a449c715411377c
- Size of remote file:
- 4.09 kB
- SHA256:
- 78e484ecfbba65776ab6970a9a72e2ee757de0417a491e4951feb29198757c4d
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