Instructions to use shuaifan/SentiWSP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shuaifan/SentiWSP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shuaifan/SentiWSP")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shuaifan/SentiWSP") model = AutoModelForSequenceClassification.from_pretrained("shuaifan/SentiWSP") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "SentiWSP",
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"architectures": [
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"
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],
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"attention_probs_dropout_prob": 0.1,
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"embedding_size": 1024,
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{
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"_name_or_path": "SentiWSP",
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"architectures": [
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"AutoModelForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"embedding_size": 1024,
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