Instructions to use neoyipeng/ModernFinBERT-v2-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use neoyipeng/ModernFinBERT-v2-medium with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="neoyipeng/ModernFinBERT-v2-medium")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("neoyipeng/ModernFinBERT-v2-medium")
model = AutoModelForSequenceClassification.from_pretrained("neoyipeng/ModernFinBERT-v2-medium")

Notebooks
Google Colab
Kaggle
Local Apps

Unsloth Studio

How to use neoyipeng/ModernFinBERT-v2-medium with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for neoyipeng/ModernFinBERT-v2-medium to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for neoyipeng/ModernFinBERT-v2-medium to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for neoyipeng/ModernFinBERT-v2-medium to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="neoyipeng/ModernFinBERT-v2-medium",
    max_seq_length=2048,
)

ModernFinBERT-v2-medium / tokenizer_config.json

Commit History

Upload model trained with Unsloth

c869f87
verified

neoyipeng commited on Apr 18

Commit History

Upload model trained with Unsloth c869f87 verified

Upload model trained with Unsloth

c869f87
verified