Text Classification
Laya
Safetensors
Portuguese
Spanish
mmbert
natural-language-inference
portuguese
spanish
calibrated-decisions
rlcd
audio-adapter-compatible
Eval Results (legacy)
Instructions to use telepatia-ai/laya-pt-es-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use telepatia-ai/laya-pt-es-nli with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download publish.py from telepatia-ai/laya-pt-es-nli: direct link, hf CLI and curl.
- Browser
- Download file 3.16 kB
-
https://huggingface.co/telepatia-ai/laya-pt-es-nli/resolve/main/publish.py
- Command line
-
hf download hf://telepatia-ai/laya-pt-es-nli/publish.py
-
curl -L -o publish.py https://huggingface.co/telepatia-ai/laya-pt-es-nli/resolve/main/publish.py
3.16 kB
| #!/usr/bin/env python3 | |
| """Validate and publish this bundle without storing or printing HF_TOKEN.""" | |
| from __future__ import annotations | |
| import argparse | |
| import hashlib | |
| import json | |
| import os | |
| from pathlib import Path | |
| BUNDLE = Path(__file__).resolve().parent | |
| REQUIRED = { | |
| "README.md", | |
| "ATTRIBUTIONS.md", | |
| "SHA256SUMS", | |
| "encoder/config.json", | |
| "evaluation_results.json", | |
| "model.safetensors", | |
| "provenance.json", | |
| "rl_agent_config.json", | |
| "tokenizer/tokenizer.json", | |
| "tokenizer/tokenizer_config.json", | |
| "training.json", | |
| } | |
| def digest(path: Path) -> str: | |
| value = hashlib.sha256() | |
| with path.open("rb") as handle: | |
| for chunk in iter(lambda: handle.read(1024 * 1024), b""): | |
| value.update(chunk) | |
| return value.hexdigest() | |
| def validate() -> None: | |
| missing = sorted(name for name in REQUIRED if not (BUNDLE / name).is_file()) | |
| if missing: | |
| raise SystemExit(f"Missing release files: {', '.join(missing)}") | |
| for name in ("encoder/config.json", "evaluation_results.json", "provenance.json", "rl_agent_config.json", "tokenizer/tokenizer_config.json", "training.json"): | |
| with (BUNDLE / name).open(encoding="utf-8") as handle: | |
| json.load(handle) | |
| lines = (BUNDLE / "SHA256SUMS").read_text(encoding="utf-8").splitlines() | |
| expected = {} | |
| for line in lines: | |
| checksum, name = line.split(" ", 1) | |
| expected[name] = checksum | |
| for name, checksum in expected.items(): | |
| path = BUNDLE / name | |
| if not path.is_file() or digest(path) != checksum: | |
| raise SystemExit(f"Checksum mismatch: {name}") | |
| if not (BUNDLE / "README.md").read_text(encoding="utf-8").startswith("---\n"): | |
| raise SystemExit("README.md has no Hugging Face YAML metadata") | |
| print(f"Validated {len(expected)} checksums in {BUNDLE}") | |
| def main() -> None: | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--check-only", action="store_true") | |
| parser.add_argument("--repo-id", help="Defaults to <authenticated-user>/laya-pt-es-nli") | |
| args = parser.parse_args() | |
| validate() | |
| if args.check_only: | |
| return | |
| token = os.environ.get("HF_TOKEN") | |
| if not token: | |
| raise SystemExit("HF_TOKEN is required for upload") | |
| from huggingface_hub import HfApi | |
| api = HfApi(token=token) | |
| identity = api.whoami() | |
| owner = str(identity["name"]) | |
| repo_id = args.repo_id or f"{owner}/laya-pt-es-nli" | |
| requested_owner, separator, name = repo_id.partition("/") | |
| allowed = {owner, *(str(org["name"]) for org in identity.get("orgs", []))} | |
| if not separator or name != "laya-pt-es-nli" or requested_owner not in allowed: | |
| raise SystemExit("repo-id must be <authenticated-user-or-org>/laya-pt-es-nli") | |
| api.create_repo(repo_id=repo_id, repo_type="model", private=False, exist_ok=True) | |
| api.upload_folder( | |
| repo_id=repo_id, | |
| repo_type="model", | |
| folder_path=BUNDLE, | |
| commit_message="Publish Laya PT/ES NLI checkpoint", | |
| ignore_patterns=["__pycache__/**", "*.pyc"], | |
| ) | |
| print(f"Published https://huggingface.co/{repo_id}") | |
| if __name__ == "__main__": | |
| main() | |