Instructions to use LDKSolutions/KR-cryptoroberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LDKSolutions/KR-cryptoroberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LDKSolutions/KR-cryptoroberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LDKSolutions/KR-cryptoroberta-base") model = AutoModelForSequenceClassification.from_pretrained("LDKSolutions/KR-cryptoroberta-base") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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:cc99cb17afe0b101e29f5ed3a748662d2e0efbb413d67cb6325e7f18fed60629
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size 503953092
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