Instructions to use Jeevesh8/std_pnt_04_feather_berts-21 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-21 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-21")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/std_pnt_04_feather_berts-21") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/std_pnt_04_feather_berts-21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Added training logs
9f54a21 -
Saving weights and logs of step 36815
3648354 -
Saving weights and logs of step 30000
9708e82 -
Saving weights and logs of step 20000
9865013 -
Saving weights and logs of step 10000
72c915a -
Saving weights and logs of step 0
8e8b7cc -
Saving tokenizer
75bdcb9 -
initial commit
c12edb6