Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use hanifnoerr/Model_analisis_sentimen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanifnoerr/Model_analisis_sentimen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hanifnoerr/Model_analisis_sentimen")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hanifnoerr/Model_analisis_sentimen") model = AutoModelForSequenceClassification.from_pretrained("hanifnoerr/Model_analisis_sentimen") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Sep28_09-40-47_dc1a8fa226dc
- Sep28_09-56-29_dc1a8fa226dc
- Sep28_10-05-27_dc1a8fa226dc
- Sep28_10-30-19_dc1a8fa226dc
- Sep28_10-56-02_dc1a8fa226dc
- Sep28_11-00-19_dc1a8fa226dc
- Sep28_11-01-50_dc1a8fa226dc
- Sep28_11-02-08_dc1a8fa226dc
- Sep28_11-02-18_dc1a8fa226dc
- Sep28_11-03-00_dc1a8fa226dc
- Sep28_11-03-12_dc1a8fa226dc
- Sep28_11-13-40_dc1a8fa226dc
- Sep28_11-23-02_dc1a8fa226dc
- Sep28_11-28-22_dc1a8fa226dc
- Sep28_11-47-41_e0925f591fab
- Sep28_12-14-30_e0925f591fab