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
- Xet hash:
- a3b15d8c88023dfc9e7640eca569d263d5b2f1fe4462a6c74f3717cff006724f
- Size of remote file:
- 1.19 kB
- SHA256:
- ff7f92f8802f335f75a066078920c43e675b183da987a2c6d7c58582f0dbeddb
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