Text Classification
Transformers
Safetensors
English
modernbert
legal
document-ai
page-classification
text-embeddings-inference
Instructions to use RayJackson30/clawbert-149 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RayJackson30/clawbert-149 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RayJackson30/clawbert-149")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RayJackson30/clawbert-149") model = AutoModelForSequenceClassification.from_pretrained("RayJackson30/clawbert-149", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download docs/page_types.jpg from RayJackson30/clawbert-149: direct link, hf CLI and curl.
- Browser
- Download file 379 kB
-
https://huggingface.co/RayJackson30/clawbert-149/resolve/main/docs/page_types.jpg
- Command line
-
hf download hf://RayJackson30/clawbert-149/docs/page_types.jpg
-
curl -L -o page_types.jpg https://huggingface.co/RayJackson30/clawbert-149/resolve/main/docs/page_types.jpg
379 kB

- Xet hash:
- f43e3cb7f6f134dedd955150452e68a2eec3c10bb8f2b49d8b40372de8f6e7b8
- Size of remote file:
- 379 kB
- SHA256:
- b6f052a32a9211bc9841f907cd3c30a88835b54075e1a824511c557b1f8b2a2f
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