Instructions to use hf-internal-testing/tiny-random-SqueezeBertForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SqueezeBertForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-SqueezeBertForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-SqueezeBertForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-SqueezeBertForTokenClassification") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
b044f2e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0ae0ed58eacf03533a7b380460efd830f8a684f6b1c903a58b61e89462da77b9
size 328056
|