How to use Startup-Exchange/tps_sentimental_analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Startup-Exchange/tps_sentimental_analysis")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Startup-Exchange/tps_sentimental_analysis") model = AutoModelForSequenceClassification.from_pretrained("Startup-Exchange/tps_sentimental_analysis", device_map="auto")
https://huggingface.co/Startup-Exchange/tps_sentimental_analysis/resolve/refs%2Fpr%2F2/tokenizer.json
hf download hf://Startup-Exchange/tps_sentimental_analysis@refs/pr/2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Startup-Exchange/tps_sentimental_analysis/resolve/refs%2Fpr%2F2/tokenizer.json
