Instructions to use Robertuus/Crypto_Sentiment_Analysis_Bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Robertuus/Crypto_Sentiment_Analysis_Bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Robertuus/Crypto_Sentiment_Analysis_Bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Robertuus/Crypto_Sentiment_Analysis_Bert") model = AutoModelForSequenceClassification.from_pretrained("Robertuus/Crypto_Sentiment_Analysis_Bert") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b491cb79676b4b3cb11f72843ebe0571e638ca598ee644ffda629b586c008b51
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size 437962832
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