Instructions to use soyee/session1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soyee/session1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="soyee/session1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("soyee/session1") model = AutoModelForSequenceClassification.from_pretrained("soyee/session1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfcfe537f43b679c6118a5b9ab5fb146081e720b07323037eb90fdba5ec50aca
- Size of remote file:
- 436 MB
- SHA256:
- 0d041cf490dc7049d7f3f5f7a4ea5acfc0a34dfa5c8892386ca62fac2b89cf25
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