Instructions to use thepeak/author_or_title with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thepeak/author_or_title with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thepeak/author_or_title")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thepeak/author_or_title") model = AutoModelForSequenceClassification.from_pretrained("thepeak/author_or_title", 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:a23f51d95a122226faa829ff18d90c1017af947847abb2315042b86e56fe094c
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size 433274952
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