Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use BaselMousi/bert_wnut_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BaselMousi/bert_wnut_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BaselMousi/bert_wnut_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("BaselMousi/bert_wnut_model") model = AutoModelForTokenClassification.from_pretrained("BaselMousi/bert_wnut_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cae181a2ad2b3ad07da715dc09971e0a2a934864640ccc05c383fd0263b60d3a
- Size of remote file:
- 5.37 kB
- SHA256:
- bab73abbd2d0695f75f58b88d33b065efd181163251733786da829aeb6c0ef18
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