Instructions to use ruanchaves/mdeberta-v3-base-hatebr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruanchaves/mdeberta-v3-base-hatebr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ruanchaves/mdeberta-v3-base-hatebr")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ruanchaves/mdeberta-v3-base-hatebr") model = AutoModelForSequenceClassification.from_pretrained("ruanchaves/mdeberta-v3-base-hatebr", 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 sha256:3ea6b47690c261bc1e1e869ae62b5d73652a2c3b933acfe78b51e1fe6dcc04e8
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size 1115272400
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