Instructions to use hf-internal-testing/tiny-random-ConvBertForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ConvBertForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-ConvBertForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ConvBertForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-ConvBertForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b5cde62402a14a09e5a28afdbfa2e4ed8935716dec5d5b17c1466c9eb588c87
- Size of remote file:
- 5.34 MB
- SHA256:
- b1beed183eeec617b64e4603b3b799a4ad13f195992d99b0775ee1897be73d40
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