Zero-Shot Classification
Transformers
Safetensors
English
gemma4_text
feature-extraction
decision-model
calibration
system-1
local
Eval Results
Instructions to use mstrasser/Jeff-Gemma4-E2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mstrasser/Jeff-Gemma4-E2B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="mstrasser/Jeff-Gemma4-E2B")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mstrasser/Jeff-Gemma4-E2B") model = AutoModel.from_pretrained("mstrasser/Jeff-Gemma4-E2B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add Typed Decisions benchmark results
#1
by SaylorTwift HF Staff - opened
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