Instructions to use achyut/narrativemodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use achyut/narrativemodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="achyut/narrativemodel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("achyut/narrativemodel") model = AutoModelForSequenceClassification.from_pretrained("achyut/narrativemodel", 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 sha256:43dbd041756d7a6b3d3c683ae637e9931b8bcc324cf3d01949add6cc6c7a8fbc
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size 437962832
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