Instructions to use chloebi98/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chloebi98/test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chloebi98/test_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chloebi98/test_model") model = AutoModelForSequenceClassification.from_pretrained("chloebi98/test_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a142428c6bc0f6a10dd22f19a8b120cc0ec5ad1d8a9429e52856cff84ad0c2b
- Size of remote file:
- 329 MB
- SHA256:
- d81f10f84efd3e14ec986c337f8142919e0103961e616e4b0a067733b8860b1c
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