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-2997/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-2997/optimizer.pt
- Command line
-
hf download hf://Theoreticallyhugo/longformer-simple/checkpoint-2997/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Theoreticallyhugo/longformer-simple/resolve/main/checkpoint-2997/optimizer.pt
1.01 GB
- Xet hash:
- fc8e0a92f527de2b0028b6e06ae16ffb47df27e00cfb73a0217656fc14ee67cb
- Size of remote file:
- 1.01 GB
- SHA256:
- 859e6d03d07f19ca4ab84e68399c9dc9bbe7bf88bc72b1f6eb187920ed40aa7e
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