Instructions to use ditto123/model-tf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ditto123/model-tf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ditto123/model-tf")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ditto123/model-tf") model = AutoModelForTokenClassification.from_pretrained("ditto123/model-tf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 182ee1668bdaeb8e331e2a19c3aae91d8014e1f94f775c532e9fa3df7dfb1cfe
- Size of remote file:
- 436 MB
- SHA256:
- 63eebe462bc26fe5c641738321f7218040b17086fe916424cde888ab14a277ca
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