Text Classification
Transformers
PyTorch
Catalan
roberta
catalan
semantic textual similarity
sts-ca
CaText
Catalan Textual Corpus
Eval Results (legacy)
text-embeddings-inference
Instructions to use projecte-aina/roberta-base-ca-cased-sts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/roberta-base-ca-cased-sts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="projecte-aina/roberta-base-ca-cased-sts")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("projecte-aina/roberta-base-ca-cased-sts") model = AutoModelForSequenceClassification.from_pretrained("projecte-aina/roberta-base-ca-cased-sts") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +2 -2
config.json
CHANGED
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "SIMILARITY"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"SIMILARITY": 0
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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