Instructions to use LumousInTheWild/Demo_Local_Huggingface_NLP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LumousInTheWild/Demo_Local_Huggingface_NLP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LumousInTheWild/Demo_Local_Huggingface_NLP")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LumousInTheWild/Demo_Local_Huggingface_NLP") model = AutoModelForSequenceClassification.from_pretrained("LumousInTheWild/Demo_Local_Huggingface_NLP") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("LumousInTheWild/Demo_Local_Huggingface_NLP")
model = AutoModelForSequenceClassification.from_pretrained("LumousInTheWild/Demo_Local_Huggingface_NLP")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LumousInTheWild/Demo_Local_Huggingface_NLP")