Instructions to use Fabchi/ENVIRONMENTALBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fabchi/ENVIRONMENTALBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fabchi/ENVIRONMENTALBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fabchi/ENVIRONMENTALBERT") model = AutoModelForSequenceClassification.from_pretrained("Fabchi/ENVIRONMENTALBERT") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
config.json
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.40.
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.40.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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model.safetensors
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training_args.bin
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