Instructions to use Sarveshj/BERT_ep9_lr2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sarveshj/BERT_ep9_lr2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Sarveshj/BERT_ep9_lr2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Sarveshj/BERT_ep9_lr2") model = AutoModelForTokenClassification.from_pretrained("Sarveshj/BERT_ep9_lr2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 9
Browse files
pytorch_model.bin
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runs/Apr11_07-31-17_1d72a966b6f2/events.out.tfevents.1681198303.1d72a966b6f2.577.0
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