Instructions to use haritzpuerto/distilbert-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haritzpuerto/distilbert-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="haritzpuerto/distilbert-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("haritzpuerto/distilbert-squad") model = AutoModelForQuestionAnswering.from_pretrained("haritzpuerto/distilbert-squad") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("haritzpuerto/distilbert-squad")
model = AutoModelForQuestionAnswering.from_pretrained("haritzpuerto/distilbert-squad")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
TrainOutput(global_step=5475, training_loss=1.7323438837756848, metrics={'train_runtime': 4630.6634, 'train_samples_per_second': 18.917, 'train_steps_per_second': 1.182, 'total_flos': 1.1445080909703168e+16, 'train_loss': 1.7323438837756848, 'epoch': 1.0})
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="haritzpuerto/distilbert-squad")