Instructions to use Gantenbein/ADDI-FI-XLM-R with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gantenbein/ADDI-FI-XLM-R with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Gantenbein/ADDI-FI-XLM-R")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Gantenbein/ADDI-FI-XLM-R") model = AutoModelForQuestionAnswering.from_pretrained("Gantenbein/ADDI-FI-XLM-R") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 1.0, | |
| "init_mem_cpu_alloc_delta": 347038, | |
| "init_mem_cpu_peaked_delta": 18306, | |
| "init_mem_gpu_alloc_delta": 1109893120, | |
| "init_mem_gpu_peaked_delta": 0, | |
| "train_mem_cpu_alloc_delta": 459108, | |
| "train_mem_cpu_peaked_delta": 213284, | |
| "train_mem_gpu_alloc_delta": 3344827392, | |
| "train_mem_gpu_peaked_delta": 3576786944, | |
| "train_runtime": 41.8596, | |
| "train_samples": 821, | |
| "train_samples_per_second": 2.461 | |
| } |