Instructions to use cruiser/bert_final_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cruiser/bert_final_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cruiser/bert_final_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cruiser/bert_final_model") model = AutoModelForSequenceClassification.from_pretrained("cruiser/bert_final_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 20
ef7ed0e -
Training in progress, epoch 19
6e124ec -
Training in progress, epoch 18
451267d -
Training in progress, epoch 17
162aeb6 -
Training in progress, epoch 16
736ce87 -
Training in progress, epoch 15
b6a9fb0 -
Training in progress, epoch 14
f921318 -
Training in progress, epoch 13
b19937a -
Training in progress, epoch 12
42c0ac5 -
Training in progress, epoch 11
833d2fc -
Training in progress, epoch 10
28300a2 -
Training in progress, epoch 9
4d86e71 -
Training in progress, epoch 8
b0e5c7a -
Training in progress, epoch 7
1c0863a -
Training in progress, epoch 6
d716dce -
Training in progress, epoch 5
74791ce -
Training in progress, epoch 4
15f28ed -
Training in progress, epoch 3
80e6a99 -
Training in progress, epoch 2
df7e5fc -
Training in progress, epoch 1
4cb0eb8 -
initial commit
da0e626