Instructions to use egerber1/sap_predictions_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use egerber1/sap_predictions_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="egerber1/sap_predictions_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("egerber1/sap_predictions_model") model = AutoModelForSequenceClassification.from_pretrained("egerber1/sap_predictions_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files- config.json +4 -4
- model.safetensors +2 -2
- training_args.bin +1 -1
config.json
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size":
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"5996": "LABEL_5996"
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"initializer_range": 0.02,
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"intermediate_size":
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads":
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"num_hidden_layers":
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"eos_token_id": 2,
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"hidden_act": "gelu",
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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": "LABEL_0",
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"1": "LABEL_1",
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"5996": "LABEL_5996"
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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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"LABEL_0": 0,
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"LABEL_1": 1,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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model.safetensors
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training_args.bin
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size 5304
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