Instructions to use Jeevesh8/std_pnt_04_feather_berts-73 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/std_pnt_04_feather_berts-73 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/std_pnt_04_feather_berts-73")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/std_pnt_04_feather_berts-73") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/std_pnt_04_feather_berts-73", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Added training logs
Browse files
events.out.tfevents.1654979675.gr003.hpc.nyu.edu
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