Instructions to use GraphBot/model-tf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GraphBot/model-tf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="GraphBot/model-tf")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("GraphBot/model-tf") model = AutoModelForTokenClassification.from_pretrained("GraphBot/model-tf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from GraphBot/model-tf: direct link, hf CLI and curl.
- Browser
- Download file 183 Bytes
-
https://huggingface.co/GraphBot/model-tf/resolve/main/added_tokens.json
- Command line
-
hf download hf://GraphBot/model-tf/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/GraphBot/model-tf/resolve/main/added_tokens.json
183 Bytes
| { | |
| "scatter": 30523, | |
| "scatter chart": 30524, | |
| "scatter graph": 30528, | |
| "scatter plot": 30526, | |
| "scatterchart": 30527, | |
| "scattergraph": 30525, | |
| "scatterplot": 30522 | |
| } | |