Instructions to use hf-tiny-model-private/tiny-random-MobileBertForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-MobileBertForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-tiny-model-private/tiny-random-MobileBertForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MobileBertForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-MobileBertForTokenClassification") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
dc720d3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ac26b8710583c26a9f8dcab86cd6f482243392d4527c532d562bab33224b11f6
size 3110528
|