Instructions to use tellowit/final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tellowit/final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tellowit/final")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tellowit/final") model = AutoModelForSequenceClassification.from_pretrained("tellowit/final") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf5f4a8e7c6a92cc978ae09416d14485d1c4038a7db1b58bc6bb3ddc5fe9de78
- Size of remote file:
- 5.3 kB
- SHA256:
- 7b533d53dc8710e1d62a24c7a68bda1b0b32d9ae73d59e5f35e6368ab0ae6d89
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