Instructions to use hoangthethief/best_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hoangthethief/best_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hoangthethief/best_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hoangthethief/best_model") model = AutoModelForSequenceClassification.from_pretrained("hoangthethief/best_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6558c5d745037684a066c2166f00d178cfb3bdfb3eef3c7392844c6ef6dc5976
- Size of remote file:
- 4.35 kB
- SHA256:
- fca130ef55f0288816eb397d610d5c8139cc1acb601f9e25a58bccddf8d31d9f
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