Text Classification
Transformers
Safetensors
multilingual
xlm-roberta
seo
keyword-clustering
entity-typing
text-embeddings-inference
Instructions to use Krasovskiy/anchor-words with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Krasovskiy/anchor-words with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Krasovskiy/anchor-words")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Krasovskiy/anchor-words") model = AutoModelForSequenceClassification.from_pretrained("Krasovskiy/anchor-words", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30f36920ca7cf97cd1d3c2fbbd03685c88e27e36ee42fe42d920f80bbd60eed3
- Size of remote file:
- 17.1 MB
- SHA256:
- 1cd6a5ad62eab0fb5a8ff278b89d4ae88327f32cf1465d2b5333374c40c117fa
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