Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use MarioAlviano/classifier-chapter4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarioAlviano/classifier-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MarioAlviano/classifier-chapter4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MarioAlviano/classifier-chapter4") model = AutoModelForSequenceClassification.from_pretrained("MarioAlviano/classifier-chapter4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 40
Browse files- config.json +1 -1
- model.safetensors +2 -2
- training_args.bin +1 -1
config.json
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"attention_dropout": 0.1,
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"dim": 768,
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"dtype": "
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"hidden_dim": 3072,
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"id2label": {
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"attention_dropout": 0.1,
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"dim": 768,
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"hidden_dim": 3072,
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"id2label": {
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model.safetensors
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training_args.bin
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