Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Alejandro-sin/NPL-experiment-agl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alejandro-sin/NPL-experiment-agl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Alejandro-sin/NPL-experiment-agl")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Alejandro-sin/NPL-experiment-agl") model = AutoModelForSequenceClassification.from_pretrained("Alejandro-sin/NPL-experiment-agl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Alejandro-sin/NPL-experiment-agl: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/Alejandro-sin/NPL-experiment-agl/resolve/main/tokenizer.json
- Command line
-
hf download hf://Alejandro-sin/NPL-experiment-agl/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Alejandro-sin/NPL-experiment-agl/resolve/main/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.