EdinburghNLP/xsum
Viewer • Updated • 227k • 18.6k • 152
How to use taspips/my_longformer_finetuned with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="taspips/my_longformer_finetuned") # Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("taspips/my_longformer_finetuned")
model = AutoModelForMaskedLM.from_pretrained("taspips/my_longformer_finetuned", device_map="auto")This model is a fine-tuned version of allenai/longformer-base-4096 on the xsum dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 563 | 1.0983 |