Instructions to use Pclanglais/transcript-text-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pclanglais/transcript-text-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Pclanglais/transcript-text-analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Pclanglais/transcript-text-analysis") model = AutoModelForSequenceClassification.from_pretrained("Pclanglais/transcript-text-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from Pclanglais/transcript-text-analysis: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/Pclanglais/transcript-text-analysis/resolve/main/scheduler.pt
- Command line
-
hf download hf://Pclanglais/transcript-text-analysis/scheduler.pt
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curl -L -o scheduler.pt https://huggingface.co/Pclanglais/transcript-text-analysis/resolve/main/scheduler.pt
1.06 kB
- Xet hash:
- 01ef58ace2f401f8ee1b48bb8e25616f52a26e88961d597aa5897fb22041bb86
- Size of remote file:
- 1.06 kB
- SHA256:
- 7df548493459caf2a0282cf8e370e77e5b78ca0b2c21d4560c164003ecd2189e
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