Instructions to use p1atdev/sbintuitions-modernbert-ja-130m-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use p1atdev/sbintuitions-modernbert-ja-130m-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="p1atdev/sbintuitions-modernbert-ja-130m-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("p1atdev/sbintuitions-modernbert-ja-130m-base") model = AutoModel.from_pretrained("p1atdev/sbintuitions-modernbert-ja-130m-base") - Notebooks
- Google Colab
- Kaggle
sbintuitions/modernbert-ja-130m ใฎใใผใน้จๅใฎใฟๅใๅบใใใใฎใ
sbintuitions/modernbert-ja-130m ใฏ ModernBertForMaskedLM ใงใใใใใใฏๅ่ชไบๆธฌใใใใใใใชใ ModernBertForModel ใงใใ
ๅคๆใซไฝฟใฃใใณใผใ
import torch
from transformers import (
AutoModelForMaskedLM,
)
model = AutoModelForMaskedLM.from_pretrained(
"sbintuitions/modernbert-ja-130m", torch_dtype=torch.bfloat16
)
# model.model ใใขใใใใใ ใ
model.model.push_to_hub("p1atdev/sbintuitions-modernbert-ja-130m-base")
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Base model
sbintuitions/modernbert-ja-130m