Instructions to use priyabrat/AGE_predict_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use priyabrat/AGE_predict_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="priyabrat/AGE_predict_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("priyabrat/AGE_predict_model") model = AutoModelForSequenceClassification.from_pretrained("priyabrat/AGE_predict_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6b769ba01124d906adeda5169f2f3d7056761dfeef57af4e4c140758fb0ad20
- Size of remote file:
- 268 MB
- SHA256:
- 2e836376affef092b80e0fcf08986a58f7bfa6194d8184e482bb8aaf68a99350
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