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
File size: 384 Bytes
7fd74bf d57bcf7 7fd74bf d57bcf7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | 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
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