Instructions to use hf-tiny-model-private/tiny-random-ConvBertForTokenClassification 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-ConvBertForTokenClassification 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-ConvBertForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ConvBertForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-ConvBertForTokenClassification") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
ca3018a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f92b48722604e0f781aa63fcb99914b80d6a0ad4427fb6bc0c8670d5ac0ed9dd
size 5335964
|