Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Randomui/gene_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Randomui/gene_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Randomui/gene_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Randomui/gene_finetuned") model = AutoModelForTokenClassification.from_pretrained("Randomui/gene_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c43266b9816913840e9c5bf4cc479b631d5703fd44616a877f68cf7a8b88f70
- Size of remote file:
- 3.58 kB
- SHA256:
- 864046664ea8b70858b4dc1392582b55130b65594effc8d6447f0b3a15818002
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