Text Classification
Transformers
Safetensors
multilingual
bert
sentiment-analysis
nlp
sentiment-classification
small-model
synthetic-data
tanaos
artifex
text-embeddings-inference
Instructions to use tanaos/tanaos-sentiment-analysis-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tanaos/tanaos-sentiment-analysis-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tanaos/tanaos-sentiment-analysis-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tanaos/tanaos-sentiment-analysis-v1") model = AutoModelForSequenceClassification.from_pretrained("tanaos/tanaos-sentiment-analysis-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99f720cb9963a5e069f9a3cd52be55ff6d72bad9612440bed78bcdc28126b5c0
- Size of remote file:
- 471 MB
- SHA256:
- 5a86a2ab7ed15fb3aa65072a2c9fc6794c106056e195563ba376a715f9974167
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