Instructions to use femboysLover/gemini_trader_embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use femboysLover/gemini_trader_embeddings with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="femboysLover/gemini_trader_embeddings")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("femboysLover/gemini_trader_embeddings") model = AutoModelForSequenceClassification.from_pretrained("femboysLover/gemini_trader_embeddings", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload Gemma3TextForSequenceClassification
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