Token Classification
Transformers
PyTorch
TensorFlow
Rust
Safetensors
OpenVINO
English
distilbert
Eval Results (legacy)
Instructions to use wbq/model-api-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wbq/model-api-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="wbq/model-api-test")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("wbq/model-api-test") model = AutoModelForTokenClassification.from_pretrained("wbq/model-api-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
b67a30c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8a9f9b2f153ac9ff230aca4548fa3286be9d2f9ea4eb7e9169665b1a8e983f44
size 260795580
|