Instructions to use christophalt/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use christophalt/test-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("christophalt/test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download taskmodule_config.json from christophalt/test-model: direct link, hf CLI and curl.
- Browser
- Download file 348 Bytes
-
https://huggingface.co/christophalt/test-model/resolve/main/taskmodule_config.json
- Command line
-
hf download hf://christophalt/test-model/taskmodule_config.json
-
curl -L -o taskmodule_config.json https://huggingface.co/christophalt/test-model/resolve/main/taskmodule_config.json
348 Bytes
| {"tokenizer_name_or_path": "bert-base-uncased", "entity_annotation": "entities", "single_sentence": false, "sentence_annotation": "sentences", "padding": true, "truncation": false, "max_length": null, "pad_to_multiple_of": null, "label_pad_token_id": -100, "label_all_tokens": false, "task_module_class": "TransformerTokenClassificationTaskModule"} |