Instructions to use hallisky/voice-classifier-gpt4-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hallisky/voice-classifier-gpt4-data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hallisky/voice-classifier-gpt4-data")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hallisky/voice-classifier-gpt4-data") model = AutoModelForSequenceClassification.from_pretrained("hallisky/voice-classifier-gpt4-data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from hallisky/voice-classifier-gpt4-data: direct link, hf CLI and curl.
- Browser
- Download file 2.84 GB
-
https://huggingface.co/hallisky/voice-classifier-gpt4-data/resolve/main/optimizer.pt
- Command line
-
hf download hf://hallisky/voice-classifier-gpt4-data/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/hallisky/voice-classifier-gpt4-data/resolve/main/optimizer.pt
2.84 GB
- Xet hash:
- 2261941bc8847a28cf1155dde7182c747c637a3fd5978f6fcb6b1a5c0588c4bb
- Size of remote file:
- 2.84 GB
- SHA256:
- 38315257e04d8c39c318487f72d46f927d50a49107ddc115cb0c6e49f26a3c49
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