Instructions to use codesj/empathic-concern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codesj/empathic-concern with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="codesj/empathic-concern")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("codesj/empathic-concern") model = AutoModelForSequenceClassification.from_pretrained("codesj/empathic-concern") - Notebooks
- Google Colab
- Kaggle
Joao Sedoc
Adding RoBERTa based empathy model fine-turned on the empathy dataset https://github.com/wwbp/empathic_reactions
3a4d41e | {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "roberta-base"} |