Text Classification
Transformers
Safetensors
modernbert
legal
Eval Results (legacy)
text-embeddings-inference
Instructions to use AmirMohseni/modernbert-seeks_guidance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmirMohseni/modernbert-seeks_guidance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AmirMohseni/modernbert-seeks_guidance")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AmirMohseni/modernbert-seeks_guidance") model = AutoModelForSequenceClassification.from_pretrained("AmirMohseni/modernbert-seeks_guidance") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1749dfdeba37e081e17fb1386268cd49369b1e5de95b392d5b3f086002c099c
- Size of remote file:
- 5.33 kB
- SHA256:
- 7e0a741395df23b279a72991b80598795f3bc71eeda27b4045ee28b3b9e329a2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.