Instructions to use aittalam/qwen3emb_0.6_coconot_100_bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aittalam/qwen3emb_0.6_coconot_100_bf16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aittalam/qwen3emb_0.6_coconot_100_bf16")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aittalam/qwen3emb_0.6_coconot_100_bf16") model = AutoModelForSequenceClassification.from_pretrained("aittalam/qwen3emb_0.6_coconot_100_bf16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from aittalam/qwen3emb_0.6_coconot_100_bf16: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/aittalam/qwen3emb_0.6_coconot_100_bf16/resolve/main/tokenizer.json
- Command line
-
hf download hf://aittalam/qwen3emb_0.6_coconot_100_bf16/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/aittalam/qwen3emb_0.6_coconot_100_bf16/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- a0879abca6ce0ca57d1f45f37921980e2284544e8a7d054d457b573dd1845c29
- Size of remote file:
- 11.4 MB
- SHA256:
- 6d2758e73a1631fea697215d2e3f25cdd0d780788d6fd4262c15a474473b884d
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