Instructions to use weqweasdas/RM-Gemma-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use weqweasdas/RM-Gemma-2B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="weqweasdas/RM-Gemma-2B")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("weqweasdas/RM-Gemma-2B") model = AutoModelForSequenceClassification.from_pretrained("weqweasdas/RM-Gemma-2B") - Notebooks
- Google Colab
- Kaggle
why model arch is GemmaForSequenceClassification ?
#3 opened over 1 year ago
by
mshojaei77
model RM how?
#2 opened over 1 year ago
by
NickyNicky
"Tokenizer class GemmaTokenizer does not exist or is not currently imported."
#1 opened about 2 years ago
by
fchaubard