Instructions to use gunnybd01/IndicatorStock with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gunnybd01/IndicatorStock with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gunnybd01/IndicatorStock")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gunnybd01/IndicatorStock") model = AutoModelForSequenceClassification.from_pretrained("gunnybd01/IndicatorStock") - Notebooks
- Google Colab
- Kaggle
Checkpoint at epoch 2
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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{
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"_name_or_path": "
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"architectures": [
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"BertForSequenceClassification"
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"_name_or_path": "gunnybd01/IndicatorStock",
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"architectures": [
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"BertForSequenceClassification"
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],
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 17548796
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version https://git-lfs.github.com/spec/v1
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oid sha256:cff41da7beb47f52cb4f1ba8fb52497f8114c3a1b9594dc087b27a5966f2c973
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size 17548796
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