Instructions to use Falconsai/offensive_speech_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falconsai/offensive_speech_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Falconsai/offensive_speech_detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Falconsai/offensive_speech_detection") model = AutoModelForSequenceClassification.from_pretrained("Falconsai/offensive_speech_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload DistilBertForSequenceClassification
Browse files- config.json +1 -1
- pytorch_model.bin +2 -2
config.json
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"_name_or_path": "./results/checkpoint-
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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"_name_or_path": "./results/checkpoint-9500",
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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pytorch_model.bin
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oid sha256:70dddf91e70a194298473e14829bcc7a7532a0b87a5da6230120834841a752b5
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size 267854125
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