Instructions to use KingAsiedu/sentence_sentiments_analysis_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KingAsiedu/sentence_sentiments_analysis_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KingAsiedu/sentence_sentiments_analysis_bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KingAsiedu/sentence_sentiments_analysis_bert") model = AutoModelForSequenceClassification.from_pretrained("KingAsiedu/sentence_sentiments_analysis_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
fe480f4 -
Training in progress, epoch 5
fc1ec70 -
Training in progress, epoch 4
8059703 -
Training in progress, epoch 3
1e38658 -
Training in progress, epoch 2
80c1023 -
Training in progress, epoch 1
75033d6
-
Training in progress, epoch 3
cab1ba5 -
Training in progress, epoch 2
9e5aebe -
Training in progress, epoch 1
4bc0cf8
-
Training in progress, epoch 2
6703911 -
Training in progress, epoch 1
329fac0
-
End of training
532d957 -
Training in progress, epoch 5
2e27a4b -
Training in progress, epoch 4
e2d3436 -
Training in progress, epoch 3
f278885 -
Training in progress, epoch 2
7897423 -
Training in progress, epoch 1
f1534c6
-
initial commit
7038342