Instructions to use ahnaf702/SentibertLarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahnaf702/SentibertLarge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ahnaf702/SentibertLarge")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ahnaf702/SentibertLarge") model = AutoModelForSequenceClassification.from_pretrained("ahnaf702/SentibertLarge") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24d1242ef045356e5199e533db9430635e07ecad805006c9801686305b070a42
- Size of remote file:
- 443 MB
- SHA256:
- fc26fbc0b67fa32618137613af87ba16a82c25c6703c624ee1f22b421cc48db1
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