Instructions to use alvarodt/geocoding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alvarodt/geocoding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="alvarodt/geocoding")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("alvarodt/geocoding") model = AutoModel.from_pretrained("alvarodt/geocoding", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- config.json +4 -0
- pytorch_model.bin +3 -0
config.json
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{
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"activation": "gelu",
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"transformers_version": "4.26.0",
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"vocab_size": 30522
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}
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{
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"activation": "gelu",
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"architectures": [
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"DistilBertModel"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"torch_dtype": "float32",
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"transformers_version": "4.26.0",
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"vocab_size": 30522
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:292649a1e78fc3ef71393426b919b473731270ed0e02ac0329c1737e181df228
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size 180413453
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