Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use redevaaa/fin2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use redevaaa/fin2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="redevaaa/fin2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("redevaaa/fin2") model = AutoModelForTokenClassification.from_pretrained("redevaaa/fin2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training complete
Browse files
pytorch_model.bin
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runs/Dec11_02-52-12_aade24998442/events.out.tfevents.1670727142.aade24998442.76.4
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