Instructions to use doublecringe123/job-features-extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use doublecringe123/job-features-extractor with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("doublecringe123/job-features-extractor") model = AutoModelForSeq2SeqLM.from_pretrained("doublecringe123/job-features-extractor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
trained cointegrated/rut5-base-multitask(cointegrated/rut5-base-multitask) on dataset /kaggle/working/august_internchip/data.csv
917737a verified | { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.42.3" | |
| } | |