Model: NazmusAshrafi/setfit-MiniLM-mpnet-absa-tesla-tweet-polarity
Author: NazmusAshrafi
Pipeline: text-classification
Library: setfit
Tags: setfit, safetensors, mpnet, absa, sentence-transformers, text-classification, generated_from_setfit_trainer, arxiv:2209.11055, base_model:sentence-transformers/paraphrase-mpnet-base-v2, base_model:finetune:sentence-transformers/paraphrase-mpnet-base-v2, model-index, region:us
Base models (finetune): id: sentence-transformers/paraphrase-mpnet-base-v2
Card metadata: library_name: setfit
tags: setfit, absa, sentence-transformers, text-classification, generated_from_setfit_trainer
metrics: accuracy
widget: ; got my car in about a:Well.. I added a new 🐎 to the stable! Special thanks to Matt at the @Tesla Clarkston location who made my Model Y order &amp; delivery incredibly smooth.🙏 I'm super lucky &amp; got my car in about a week of deciding to go for it 😳 Video coming soon about that process &amp; more! https://t.co/PrP91xMnKk, . But the price could be cheaper:C’mon @elonmusk! Australians are busting to buy EVs &amp; the best one is @Tesla imho. But the price could be cheaper, if you built a #gigafactory in Australia. 70% of the lithium in the cars is #aussie so why not set up a #gigafactorydownunder? All the talent and minerals are here!, generate more net profit from legacy auto:As with previous quarters, $TSLA will generate more net profit from legacy auto regulatory credits sales this quarter than legacy auto will make in gross profit by selling EVs.

This just keeps adding insult to injury., on keeping this car for 10 years:@_brivnii @Tesla I plan on keeping this car for 10 years total (so 6 more years at least). I don't feel the need to upgrade to a newer model even if price is no issue. This one has been reliable, and I got a good battery (no signs of degradation so far), The driver’s car was a @Tesla:I took an @Uber home from the airport and my bill had a fuel surcharge on it because of the current price of gasoline. 

The driver’s car was a @Tesla… 🤷
pipeline_tag: text-classification
inference: no
base_model: sentence-transformers/paraphrase-mpnet-base-v2
model-index: name: SetFit Polarity Model with sentence-transformers/paraphrase-mpnet-base-v2
results: task: type: text-classification
name: Text Classification
dataset: name: Unknown
type: unknown
split: test
metrics: type: accuracy
value: 0.44
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 176
Created: 2024-01-28 12:16:44