Instructions to use asalhi85/Saudi_Dialect_Recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asalhi85/Saudi_Dialect_Recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="asalhi85/Saudi_Dialect_Recognition")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("asalhi85/Saudi_Dialect_Recognition") model = AutoModelForSequenceClassification.from_pretrained("asalhi85/Saudi_Dialect_Recognition") - 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:e93d5ee79ef1af7f4676c6f79ddd32600eeb86fc72c3951f72073ba0a85d2dff
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size 1346689040
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