Instructions to use circulus/on-bart-ar-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use circulus/on-bart-ar-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("circulus/on-bart-ar-v1") model = AutoModelForSeq2SeqLM.from_pretrained("circulus/on-bart-ar-v1") - Notebooks
- Google Colab
- Kaggle
Upload BartForConditionalGeneration
Browse files- config.json +1 -0
- model.safetensors +1 -1
config.json
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{
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"architectures": [
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{
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"_name_or_path": "./on-bart-ar-v1.1",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"architectures": [
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 563249480
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version https://git-lfs.github.com/spec/v1
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oid sha256:7b17c55f306fb35537c83101b91e9808e097237298d036d85e2a9eb5a6d3dd29
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size 563249480
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