Instructions to use nanelimon/zeltech-akbank-hackathon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nanelimon/zeltech-akbank-hackathon with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nanelimon/zeltech-akbank-hackathon")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nanelimon/zeltech-akbank-hackathon") model = AutoModelForSequenceClassification.from_pretrained("nanelimon/zeltech-akbank-hackathon", device_map="auto") - 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:ddfaf041bc7323043a1a48211236654f259f365f5b71b28b7d259379065bb891
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size 442526748
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