Text Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use wnic00/hihu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wnic00/hihu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wnic00/hihu")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wnic00/hihu") model = AutoModelForSequenceClassification.from_pretrained("wnic00/hihu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8dd0dc091a7b0700c76d1b3c9730e181d44f6d1a240c93945d41594a4d79856
- Size of remote file:
- 3.96 kB
- SHA256:
- 404ecb789f7a66b2337395aa4965439164b69978902b59c3af19cd049e22b02f
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