Instructions to use jvelja/verifier_mini-regressor_round_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jvelja/verifier_mini-regressor_round_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jvelja/verifier_mini-regressor_round_0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jvelja/verifier_mini-regressor_round_0") model = AutoModelForSequenceClassification.from_pretrained("jvelja/verifier_mini-regressor_round_0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jvelja/verifier_mini-regressor_round_0: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/jvelja/verifier_mini-regressor_round_0/resolve/main/tokenizer.json
- Command line
-
hf download hf://jvelja/verifier_mini-regressor_round_0/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jvelja/verifier_mini-regressor_round_0/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- f8d5dc3430f301e3334c34268c690e5b8dfdc152b46f525db04e968ddb6379ba
- Size of remote file:
- 11.4 MB
- SHA256:
- ba0c439f7be467bf47d12a7e6f9adc6116201056fc60c67f431c679b7c16afc8
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