Instructions to use skumar1998/result with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skumar1998/result with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("skumar1998/result", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download entity_distribution.json from skumar1998/result: direct link, hf CLI and curl.
- Browser
- Download file 785 Bytes
-
https://huggingface.co/skumar1998/result/resolve/main/entity_distribution.json
- Command line
-
hf download hf://skumar1998/result/entity_distribution.json
-
curl -L -o entity_distribution.json https://huggingface.co/skumar1998/result/resolve/main/entity_distribution.json
785 Bytes
| { | |
| "facility_address": 5652, | |
| "facility_city": 5678, | |
| "facility_name": 5647, | |
| "facility_state": 5694, | |
| "facility_zip": 5721, | |
| "medicaid_insurance_number": 2052, | |
| "other_insurance_number_1": 1967, | |
| "patient_address": 2303, | |
| "patient_city": 2321, | |
| "patient_dob": 5673, | |
| "patient_first_name": 6051, | |
| "patient_last_name": 6056, | |
| "patient_sex": 5636, | |
| "patient_state": 2429, | |
| "patient_zip": 2363, | |
| "phone_number": 1269, | |
| "medicare_insurance_number": 1597, | |
| "other_insurance_name_1": 1962, | |
| "patient_middle_name": 974, | |
| "social_security_number": 180, | |
| "accession_number": 1513, | |
| "collection_date": 2801, | |
| "provider_npi": 5017, | |
| "sample_code": 5012, | |
| "other_insurance_name_2": 17, | |
| "other_insurance_number_2": 18 | |
| } |