Instructions to use PaulLerner/context_ilf_l12_wit_mict with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PaulLerner/context_ilf_l12_wit_mict with Transformers:
# Load model directly from transformers import AutoTokenizer, IntermediateLinearFusion tokenizer = AutoTokenizer.from_pretrained("PaulLerner/context_ilf_l12_wit_mict") model = IntermediateLinearFusion.from_pretrained("PaulLerner/context_ilf_l12_wit_mict", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PaulLerner/context_ilf_l12_wit_mict: direct link, hf CLI and curl.
- Browser
- Download file 441 MB
-
https://huggingface.co/PaulLerner/context_ilf_l12_wit_mict/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PaulLerner/context_ilf_l12_wit_mict/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PaulLerner/context_ilf_l12_wit_mict/resolve/main/pytorch_model.bin
441 MB
- Xet hash:
- 4fe8c79907a2a681eb19ed74b32b6bd4e28204b469c386999c505c92975d0ef1
- Size of remote file:
- 441 MB
- SHA256:
- acbd440798feb7e417ba09ee78e6f1e62cb7fbcaee578c9675d73b4cc06c8a4f
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