Instructions to use MachineLearningLawyer/moderate-101-rejection-examiner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MachineLearningLawyer/moderate-101-rejection-examiner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MachineLearningLawyer/moderate-101-rejection-examiner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MachineLearningLawyer/moderate-101-rejection-examiner") model = AutoModelForSequenceClassification.from_pretrained("MachineLearningLawyer/moderate-101-rejection-examiner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from MachineLearningLawyer/moderate-101-rejection-examiner: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/MachineLearningLawyer/moderate-101-rejection-examiner/resolve/main/tokenizer.json
- Command line
-
hf download hf://MachineLearningLawyer/moderate-101-rejection-examiner/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MachineLearningLawyer/moderate-101-rejection-examiner/resolve/main/tokenizer.json
2.11 MB
- Xet hash:
- 24f7abe5a7550edbca8d8b3433c8a22f9c54199f0de2fc36549aee4faacd7c86
- Size of remote file:
- 2.11 MB
- SHA256:
- d3c564ca1ea7af7c92b24f2f6e773c91a15cacb4300b892dc202853025bf914c
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