Token Classification
Transformers
Safetensors
longformer
Generated from Trainer
Eval Results (legacy)
Instructions to use Theoreticallyhugo/longformer-simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Theoreticallyhugo/longformer-simple with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Theoreticallyhugo/longformer-simple")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Theoreticallyhugo/longformer-simple") model = AutoModelForTokenClassification.from_pretrained("Theoreticallyhugo/longformer-simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-1701/optimizer.pt from Theoreticallyhugo/longformer-simple: direct link, hf CLI and curl.
- Browser
- Download file 1.01 GB
-
https://huggingface.co/Theoreticallyhugo/longformer-simple/resolve/main/checkpoint-1701/optimizer.pt
- Command line
-
hf download hf://Theoreticallyhugo/longformer-simple/checkpoint-1701/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Theoreticallyhugo/longformer-simple/resolve/main/checkpoint-1701/optimizer.pt
1.01 GB
- Xet hash:
- 914e139409862bc6b4d7de150b7db1c446aff45304a6ab480927927e1bf586c3
- Size of remote file:
- 1.01 GB
- SHA256:
- 3080df2218b74bea7bd253a33ad9e2cedae6b49a07f00f44f0b83c871ff9469e
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