Instructions to use hezarai/bert-fa-sentiment-dksf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Hezar
How to use hezarai/bert-fa-sentiment-dksf with Hezar:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| name: bert_text_classification | |
| config_type: model | |
| task: text_classification | |
| num_labels: 3 | |
| id2label: | |
| 0: negative | |
| 1: positive | |
| 2: neutral | |
| activation: gelu | |
| attention_dropout: 0.1 | |
| dim: 768 | |
| dropout: 0.1 | |
| hidden_dim: 3072 | |
| initializer_range: 0.02 | |
| max_position_embeddings: 512 | |
| n_heads: 12 | |
| n_layers: 6 | |
| output_past: true | |
| pad_token_id: 0 | |
| qa_dropout: 0.1 | |
| tie_weights_: true | |
| vocab_size: 42000 | |