Text Classification
Transformers
Safetensors
English
modernbert
text-generation-inference
unsloth
trl
text-embeddings-inference
Instructions to use hsb07/model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hsb07/model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hsb07/model2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hsb07/model2") model = AutoModelForSequenceClassification.from_pretrained("hsb07/model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use hsb07/model2 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 hsb07/model2 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 hsb07/model2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for hsb07/model2 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="hsb07/model2", max_seq_length=2048, )
- Xet hash:
- d95395ced1e3075e70f5fb0addf696cbdae0d2a9a82b25731f61d5f702715222
- Size of remote file:
- 792 MB
- SHA256:
- e34271eb970b80e23a92318e17d0e314aed5c9c2d4e4a5fdd3a40e544699ab03
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