Text Classification
Transformers
PyTorch
Safetensors
English
perceiver
financial-sentiment-analysis
sentiment-analysis
language-perceiver
Eval Results (legacy)
Instructions to use warwickai/fin-perceiver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use warwickai/fin-perceiver with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="warwickai/fin-perceiver")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("warwickai/fin-perceiver") model = AutoModelForSequenceClassification.from_pretrained("warwickai/fin-perceiver") - Notebooks
- Google Colab
- Kaggle
Tomás F commited on
Commit ·
1a0af85
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Parent(s): 1da4ac8
Update model
Browse files- config.json +1 -1
- pytorch_model.bin +2 -2
config.json
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{
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"_name_or_path": "
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"architectures": [
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"PerceiverForSequenceClassification"
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{
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"_name_or_path": "deepmind/language-perceiver",
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"architectures": [
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"PerceiverForSequenceClassification"
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pytorch_model.bin
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