Text Classification
sentence-transformers
PyTorch
Transformers
xlm-roberta
feature-extraction
SetFit
News
text-embeddings-inference
Instructions to use KnutJaegersberg/topic-classification-IPTC-subject-labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use KnutJaegersberg/topic-classification-IPTC-subject-labels with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KnutJaegersberg/topic-classification-IPTC-subject-labels") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers
How to use KnutJaegersberg/topic-classification-IPTC-subject-labels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KnutJaegersberg/topic-classification-IPTC-subject-labels")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("KnutJaegersberg/topic-classification-IPTC-subject-labels") model = AutoModel.from_pretrained("KnutJaegersberg/topic-classification-IPTC-subject-labels", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from KnutJaegersberg/topic-classification-IPTC-subject-labels: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/KnutJaegersberg/topic-classification-IPTC-subject-labels/resolve/main/tokenizer.json
- Command line
-
hf download hf://KnutJaegersberg/topic-classification-IPTC-subject-labels/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/KnutJaegersberg/topic-classification-IPTC-subject-labels/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 7ebaaca31b16d50a8c317a141cd8a71158e3d272369bc15138e0b0a518a14d17
- Size of remote file:
- 17.1 MB
- SHA256:
- b60b6b43406a48bf3638526314f3d232d97058bc93472ff2de930d43686fa441
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.