Instructions to use Thien22222/finetuning-sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thien22222/finetuning-sentiment-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Thien22222/finetuning-sentiment-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Thien22222/finetuning-sentiment-model") model = AutoModelForSequenceClassification.from_pretrained("Thien22222/finetuning-sentiment-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cfb039be322d68a6266c539f1760c804b592d447049d316e02ac788506c1498
- Size of remote file:
- 4.92 kB
- SHA256:
- 5e0d5e27345f9a2a8be864da3a1327869e43e794205600730ce3f1100e135ab6
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