Instructions to use arj9719/robertuito_sentiment_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arj9719/robertuito_sentiment_analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arj9719/robertuito_sentiment_analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arj9719/robertuito_sentiment_analysis") model = AutoModelForSequenceClassification.from_pretrained("arj9719/robertuito_sentiment_analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 4
e4ee1c4
-
Training in progress, epoch 3
0965ee7 -
Training in progress, epoch 2
8481ef0 -
Training in progress, epoch 1
60414ba
-
Training in progress, epoch 1
946d88c -
Training in progress, epoch 1
3a0e90f
-
Training in progress, epoch 1
b9c191e -
Training in progress, epoch 5
32c8176 -
Training in progress, epoch 4
df3f39d -
Training in progress, epoch 3
06f68c7 -
Training in progress, epoch 2
824c991 -
Training in progress, epoch 1
fa5a3ad -
Training in progress, epoch 5
3dc16a8 -
Training in progress, epoch 4
11d94a8 -
Training in progress, epoch 3
ee437eb -
Training in progress, epoch 2
6e44a5b -
Training in progress, epoch 1
10162f8
-
Training in progress, epoch 3
37e6554 -
Training in progress, epoch 2
713c341 -
Training in progress, epoch 1
aef7f92 -
Training in progress, epoch 3
d4e0138 -
Training in progress, epoch 2
ecaf2f2 -
Training in progress, epoch 1
244f528 -
Training in progress, epoch 2
2d86ab7 -
Training in progress, epoch 1
f5b0015 -
Training in progress, epoch 1
62b2103 -
initial commit
87c9941