Instructions to use rajaatif786/TickerExtraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rajaatif786/TickerExtraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="rajaatif786/TickerExtraction", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("rajaatif786/TickerExtraction") model = AutoModel.from_pretrained("rajaatif786/TickerExtraction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): a96b5e2
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Browse files- labels.pkl +3 -0
labels.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:9a894c21df4b8ff39856d53e2d78a203954b6071e82f5541fcc11bb31e0242ef
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size 489655
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