Duplicated from autoevaluate/natural-language-inference
How to use autoevaluate/natural-language-inference-not-evaluated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="autoevaluate/natural-language-inference-not-evaluated")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("autoevaluate/natural-language-inference-not-evaluated") model = AutoModelForSequenceClassification.from_pretrained("autoevaluate/natural-language-inference-not-evaluated", device_map="auto")
https://huggingface.co/autoevaluate/natural-language-inference-not-evaluated/resolve/refs%2Fpr%2F2/tokenizer.json
hf download hf://autoevaluate/natural-language-inference-not-evaluated@refs/pr/2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/autoevaluate/natural-language-inference-not-evaluated/resolve/refs%2Fpr%2F2/tokenizer.json
