Instructions to use FanChen0116/full_train_valid_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FanChen0116/full_train_valid_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="FanChen0116/full_train_valid_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("FanChen0116/full_train_valid_model") model = AutoModelForTokenClassification.from_pretrained("FanChen0116/full_train_valid_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8089454da51e6aad158172e945ba2d58f28b5f53b8379d2a1970489cb7d5130
- Size of remote file:
- 431 MB
- SHA256:
- ea9d88d155df40f0762697d08ce8a86ceb6de9da509caabd6430e010c60e84fb
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