Token Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use BaselMousi/distilbert_wnut_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BaselMousi/distilbert_wnut_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BaselMousi/distilbert_wnut_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("BaselMousi/distilbert_wnut_model") model = AutoModelForTokenClassification.from_pretrained("BaselMousi/distilbert_wnut_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6d3c137c60d6a1ce70be3e3c85c20319ab98a4d73c5cd501214f21e2a6eef96
- Size of remote file:
- 5.37 kB
- SHA256:
- c5e607f9cbbf6509d329fada507f60ea70d48230a37b04150308e08b64a5a969
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