Instructions to use kevinjesse/typebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevinjesse/typebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kevinjesse/typebert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kevinjesse/typebert") model = AutoModelForTokenClassification.from_pretrained("kevinjesse/typebert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12f3e86ba9217e305f16367376e7e5795c93682c9d34d81a9ab89eb7ecbb3420
- Size of remote file:
- 1.44 GB
- SHA256:
- f569718da3638b2ab0d1da88e524bb9c2211c5edb41df9ec9fb305e662c45be2
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