Instructions to use Tommert25/robbert_1210seed7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tommert25/robbert_1210seed7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tommert25/robbert_1210seed7")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tommert25/robbert_1210seed7") model = AutoModelForTokenClassification.from_pretrained("Tommert25/robbert_1210seed7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e6973cd555436f534a2e4bdd0f0b775ea0a757ca7283253a0b147457e7891d4
- Size of remote file:
- 4.03 kB
- SHA256:
- 2cf229c583cefdc8f9554b6af6d7bb4176d5ca122caf48543273401dc8b2df9e
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