Text Classification
Transformers
Safetensors
English
modernbert
fill-mask
prokope
system-one
calibrated-decisions
typed-decisions
rlcd
agent-observability
security-incidents
invoice-processing
customer-service
slerp-manifold-fusion
Eval Results (legacy)
Eval Results
text-embeddings-inference
Instructions to use AlanCantoFTW/ProKope-421M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlanCantoFTW/ProKope-421M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AlanCantoFTW/ProKope-421M")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AlanCantoFTW/ProKope-421M") model = AutoModelForMaskedLM.from_pretrained("AlanCantoFTW/ProKope-421M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!