Instructions to use nickmuchi/facebook-data2vec-finetuned-finance-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nickmuchi/facebook-data2vec-finetuned-finance-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nickmuchi/facebook-data2vec-finetuned-finance-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nickmuchi/facebook-data2vec-finetuned-finance-classification") model = AutoModelForSequenceClassification.from_pretrained("nickmuchi/facebook-data2vec-finetuned-finance-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bb34347a5b3e3f0d2b1964c866e0ce461607562146a7b9ada8d537d5f5651db
- Size of remote file:
- 3.12 kB
- SHA256:
- ae3fa5518c921fb9789b4badfeca1f99699a70896b33f379c9efc75a873fd797
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