Feature Extraction
Transformers
Safetensors
rembert
electra
low-resource
cham
khmer
tay-nung
vietnam
ablation
Instructions to use nhatkhangdtp/CKTN-ELECTRA-no-linear-lambda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nhatkhangdtp/CKTN-ELECTRA-no-linear-lambda with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nhatkhangdtp/CKTN-ELECTRA-no-linear-lambda")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nhatkhangdtp/CKTN-ELECTRA-no-linear-lambda") model = AutoModel.from_pretrained("nhatkhangdtp/CKTN-ELECTRA-no-linear-lambda", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from nhatkhangdtp/CKTN-ELECTRA-no-linear-lambda: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/nhatkhangdtp/CKTN-ELECTRA-no-linear-lambda/resolve/main/tokenizer.json
- Command line
-
hf download hf://nhatkhangdtp/CKTN-ELECTRA-no-linear-lambda/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/nhatkhangdtp/CKTN-ELECTRA-no-linear-lambda/resolve/main/tokenizer.json
16.8 MB
- Xet hash:
- 2a0127754fcb9f519f957950d61744fc098adc50c31417d5e78a9d910083ba6a
- Size of remote file:
- 16.8 MB
- SHA256:
- 6ba8ec417a73b0e3c15b9a9135b3a8f4fd0182aa1c698fb4480e81cc6c7927ed
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