Token Classification
Transformers
TensorFlow
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use Mohamedfasil/my_awesome_wnut_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mohamedfasil/my_awesome_wnut_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mohamedfasil/my_awesome_wnut_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Mohamedfasil/my_awesome_wnut_model") model = AutoModelForTokenClassification.from_pretrained("Mohamedfasil/my_awesome_wnut_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
77d4fbd | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5bd1c3dbed8e4a4953f8f6e96b48fc175e49d7a80e992307e55ca6eb91b63b65
size 4600
|