Instructions to use echoforest/market-psych-classifier-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use echoforest/market-psych-classifier-v1 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Correct the model card (pooling is at the LABELS suffix's last token); add code/classifier from project commit 4ced7554f
3d7c238 verified Download code/classifier/__init__.py from echoforest/market-psych-classifier-v1: direct link, hf CLI and curl.
- Browser
- Download file 439 Bytes
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https://huggingface.co/echoforest/market-psych-classifier-v1/resolve/main/code/classifier/__init__.py
- Command line
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hf download hf://echoforest/market-psych-classifier-v1/code/classifier/__init__.py
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curl -L -o __init__.py https://huggingface.co/echoforest/market-psych-classifier-v1/resolve/main/code/classifier/__init__.py
439 Bytes
| """Own market-psychology classifier: Qwen3.5-9B with LoRA and one classification head per field. | |
| Spec: docs/market-psychology-own-classifier-training.md. Adapted from the read-only reference | |
| ~/yt_live_analysis/training (heads arm), with the fixes the spec lists. The pure-Python modules | |
| (taxonomy, calibrate, metrics, formats, data, ledger, robustness) run anywhere; model, train, predict and | |
| check_env need torch and run on the pod. | |
| """ | |