How to use h2mrind/finetuning-sentiment-model-3000-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="h2mrind/finetuning-sentiment-model-3000-samples")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("h2mrind/finetuning-sentiment-model-3000-samples") model = AutoModelForSequenceClassification.from_pretrained("h2mrind/finetuning-sentiment-model-3000-samples", device_map="auto")
https://huggingface.co/h2mrind/finetuning-sentiment-model-3000-samples/resolve/main/tokenizer.json
hf download hf://h2mrind/finetuning-sentiment-model-3000-samples/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/h2mrind/finetuning-sentiment-model-3000-samples/resolve/main/tokenizer.json
