Instructions to use sattwik21/gestr-jepa-isl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sattwik21/gestr-jepa-isl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sattwik21/gestr-jepa-isl", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("sattwik21/gestr-jepa-isl", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload config
Browse files- config.json +0 -4
config.json
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{
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"architectures": [
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"GestrJEPAForClassification"
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],
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"auto_map": {
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"AutoConfig": "modeling_gestr_jepa.GestrJEPAConfig",
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"AutoModelForSequenceClassification": "modeling_gestr_jepa.GestrJEPAForClassification"
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},
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"dtype": "float32",
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"embed_dim": 64,
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"hidden_dim": 256,
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"id2label": {
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{
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"auto_map": {
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"AutoConfig": "modeling_gestr_jepa.GestrJEPAConfig",
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"AutoModelForSequenceClassification": "modeling_gestr_jepa.GestrJEPAForClassification"
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},
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"embed_dim": 64,
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"hidden_dim": 256,
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"id2label": {
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