Instructions to use pranjalchitale/random-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pranjalchitale/random-0.6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="pranjalchitale/random-0.6B")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("pranjalchitale/random-0.6B") model = AutoModel.from_pretrained("pranjalchitale/random-0.6B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from pranjalchitale/random-0.6B: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/pranjalchitale/random-0.6B/resolve/main/tokenizer.json
- Command line
-
hf download hf://pranjalchitale/random-0.6B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/pranjalchitale/random-0.6B/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- e1c5ae75d50677cf0cce3ad0441fbf25396122838224b9473c03004e92077538
- Size of remote file:
- 11.4 MB
- SHA256:
- def76fb086971c7867b829c23a26261e38d9d74e02139253b38aeb9df8b4b50a
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