Instructions to use hf-tiny-model-private/tiny-random-ConvBertForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-ConvBertForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-tiny-model-private/tiny-random-ConvBertForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ConvBertForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-ConvBertForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-ConvBertForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 5.34 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-ConvBertForTokenClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-ConvBertForTokenClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-ConvBertForTokenClassification/resolve/refs%2Fpr%2F1/model.safetensors
5.34 MB
- Xet hash:
- 482ac28d2530991452e4767c8d21d9f4bf47b2adb6b23f376b97b5c7ba3d0432
- Size of remote file:
- 5.34 MB
- SHA256:
- f92b48722604e0f781aa63fcb99914b80d6a0ad4427fb6bc0c8670d5ac0ed9dd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.