Text Classification
PEFT
Safetensors
Transformers
bert
lora
sentiment-analysis
spanish
social-media
text-embeddings-inference
Instructions to use SenaSoft/chdv-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SenaSoft/chdv-sentiment-analysis with PEFT:
Task type is invalid.
- Transformers
How to use SenaSoft/chdv-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SenaSoft/chdv-sentiment-analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SenaSoft/chdv-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("SenaSoft/chdv-sentiment-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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