Feature Extraction
Transformers
Safetensors
modernbert
html
document-embedding
text-embeddings-inference
Instructions to use Seznam/html-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Seznam/html-lm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Seznam/html-lm")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Seznam/html-lm") model = AutoModel.from_pretrained("Seznam/html-lm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from Seznam/html-lm: direct link, hf CLI and curl.
- Browser
- Download file 112 Bytes
-
https://huggingface.co/Seznam/html-lm/resolve/main/processor_config.json
- Command line
-
hf download hf://Seznam/html-lm/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/Seznam/html-lm/resolve/main/processor_config.json
112 Bytes
| { | |
| "processor_class": "HTMLLMProcessor", | |
| "auto_map": { | |
| "AutoProcessor": "processor.HTMLLMProcessor" | |
| } | |
| } |