Instructions to use Sri221006/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sri221006/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Sri221006/results")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Sri221006/results") model = AutoModelForMaskedLM.from_pretrained("Sri221006/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sri221006/results: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/Sri221006/results/resolve/main/training_args.bin
- Command line
-
hf download hf://Sri221006/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sri221006/results/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 0da692ca69f795e24f15f12827c9a4823247af23dba9968be4ed34845c27456a
- Size of remote file:
- 5.24 kB
- SHA256:
- 841323aeb2266ebbcc50609ea8632fb104f4b07c9f2e0118a51d41e9ec1ce01d
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